187 AI & Emerging Technologies jobs in Columbus

Company :

Highmark Health

Job Description :

JOB SUMMARY

• As a Senior AI Consultant at Highmark, you will play a pivotal role in shaping and executing our AI strategy. Working within our AI Center of Excellence, you will partner with business leaders, clinicians, and technologists to identify opportunities for AI innovation and drive the adoption of responsible AI solutions across the organization. This role requires a strategic thinker with a proven track record of influencing decision-making, strong presentation skills, and the ability to thrive in a fast-paced, ambiguous environment.

ESSENTIAL RESPONSIBILITIES

• Problem Identification:Collaborate with business leaders and partners to identify automation opportunities.Create and deliver education to individuals and teams to support effective ideation. Work with data science teams to triage and prioritize ideas in a consistent manner while keeping the business informed along the journey.Serve as a solution designer by recommending roadmaps and/or identifying patterns that could lead to a higher return on investment.

• Proof of Concept Design:Work across teams to facilitate the design of a proof of concept.Ensure alignment around the problem statement and the measures that would determine whether the solution is viable.Facilitate engagement across partners and stakeholders to drive timely decision making and business case design.

• Implementation:Facilitate the process to translate proof of concept into scaled use and value creation.This includes working with project leads and business owners to create plans that care for all of the technical and people related change impacts in support of the business case.Serve as an advisor and partner for change execution. This includes, but is not limited to, working with internal and external learning and communications partners and change strategists to design and deliver interventions that mitigate adoption risk.

• Value Creation:Work with business leaders, portfolio teams, human resources, and finance to take the necessary steps to ensure that the value captured in the business case is captured in the respective systems.

• Other duties as assigned or requested.

EXPERIENCE

Required

• 5 years of experience in management consulting or strategy.

• 5 years of experience in orchestrating and leading change management plans and interventions.

?

Preferred

• Experience applying generative AI tools and techniques to solve business problems.

SKILLS

• Strong understanding of AI technologies, including generative AI, machine learning, deep learning, natural language processing, and computer vision.

• Ability to understand business challenges and identify opportunities for AI implementation.

• Strong analytical and problem-solving skills to develop AI solutions that align with business objectives.

• Experience working with cross-functional teams, including business stakeholders, IT professionals, and data scientists.

• Ability to effectively communicate complex AI concepts to both technical and non-technical audiences.

• Strong presentation skills to convey insights and recommendations to stakeholders

• Experience in writing technical documentation and reports.

• Ability to manage AI projects from inception to deployment, including planning, budgeting, and risk management (technology and people).

• Commitment to staying up-to-date with the latest advancements in AI and related technologies.

EDUCATION

Required

• Bachelor's degree in business, information technology, computer science, data science, or related field (OR) relevant experience and/or education as determined by the company in lieu of bachelor's degree?

Preferred

• Master's degree in business, information technology, computer science or related field.

LICENSES or CERTIFICATIONS

Required

• None

Preferred

• Certificate in Applied Artificial Intelligence

Language (Other than English):

None

Travel Requirement:

0% - 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office- or Remote-based

Teaches / trains others

Occasionally

Travel from the office to various work sites or from site-to-site

Rarely

Works primarily out-of-the office selling products/services (sales employees)

Never

Physical work site required

No

Lifting: up to 10 pounds

Constantly

Lifting: 10 to 25 pounds

Occasionally

Lifting: 25 to 50 pounds

Rarely

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times? In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy?

Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

$108,000.00

Pay Range Maximum:

$201,800.00

Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.

We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.

For accommodation requests, please contact HR Services Online at

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Req ID: J

Job Description

Design, deveAt Oracle Cloud Infrastructure (OCI), we are building the future of cloud computing-designed for enterprises, engineered for performance, and optimized for AI at scale. We are a fast-paced, mission-driven team within one of the world's largest cloud platforms.

The Generative AI Service team within OCI is focused on developing infrastructure and tools to operationalize Large Language Models (LLMs) and agentic AI systems. Our goal is to empower developers and enterprises to deploy intelligent applications and agents that integrate seamlessly with cloud services.

Role Summary

As a Principal Software Engineer (IC4), you will contribute to the design and implementation of scalable, distributed systems that serve LLMs and support agent-based workflows. You will work in a collaborative environment with applied scientists, ML engineers, and software teams to deliver performant and reliable AI infrastructure. This is a high-impact engineering role with opportunities to grow technical expertise in large-scale systems and advanced AI technologies.

Minimum Qualifications

• BS in Computer Science or related technical field.

• 6+ years of experience in backend software development with cloud infrastructure.

• Strong proficiency in at least one language such as Go, Java, Python, or C++.

• Experience building and maintaining distributed services in a production environment.

• Familiarity with Kubernetes, container orchestration, and CI/CD practices.

• Solid understanding of computer science fundamentals such as algorithms, operating systems, and networking.

Preferred Qualifications

• MS in Computer Science.

• Experience working with LLM serving frameworks like vLLM, DeepSpeed, or FasterTransformer.

• Exposure to agent-based AI systems or tool-based inference workflows.

• Knowledge of cloud-native observability tools and scalable service design.

• Interest in compiler or systems-level software design is a plus.

Why Join Us

• Build mission-critical AI infrastructure with real-world impact.

• Work closely with a collaborative and experienced global team.

• Expand your knowledge in AI, cloud computing, and distributed systems.

• Contribute to one of Oracle's most innovative and fast-growing initiativeslop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

Responsibilities

• Contribute to the development and optimization of distributed systems for model inference and agent execution.

• Implement features and enhancements in LLM service infrastructure using modern cloud technologies.

• Collaborate with cross-functional teams to support scalable and secure deployment pipelines.

• Assist in diagnosing and resolving production issues, improving observability and reliability.

• Write maintainable, well-tested code and contribute to documentation and design discussions.

Qualifications

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to

As the Director of Artificial Intelligence, you set the vision for how AI transforms our business. You lead strategy, governance, and execution - turning emerging technologies into enterprise value. We depend on your leadership to scale responsible AI, accelerate innovation, and deliver measurable results across every business function. Your work ensures AI is not just a tool, but a core part of how we operate and grow.

Responsibilities:

• Define and lead the enterprise AI strategy and roadmap, aligning priorities with business goals, operational needs, and BWE's BOLD transformation initiatives.
• Evaluate and select AI platforms, tools, and vendors with emphasis on scalable, secure, and user-empowered solutions (e.g., Microsoft Copilot, Power Platform, OpenAI, Claude).
• Build and maintain a prioritized AI portfolio of projects and use cases across business units, ensuring alignment with revenue generation and operational efficiency goals.
• Serve as a strategic advisor to executive leadership on AI opportunities, risks, investments, and competitive positioning in the marketplace.
• Lead the governance and ethics framework for AI use across the organization, partnering with BWE's AI Center to ensure responsible AI deployment.
• Collaborate with data, engineering, security, and business leaders to operationalize AI solutions while maintaining regulatory compliance and risk management standards.
• Drive the Scale Agentic AI BOLD initiative by identifying, prioritizing, and overseeing deployment of AI agents across core business functions.
• Partner with Head of AI Experience and Head of Change Acceleration to ensure successful AI adoption and user enablement across the organization.
• Research and evaluate emerging AI technologies and market trends to maintain BWE's competitive advantage and innovation leadership.
• Establish AI performance metrics and ROI measurement frameworks to demonstrate business value and guide investment decisions.
• Lead, coach, and develop AI team members while building organizational AI capabilities and technical expertise.
• Ensure AI implementations meet security, privacy, and regulatory requirements specific to the CRE industry.

• Conduct comprehensive AI readiness assessment across BWE identifying current capabilities, gaps, and strategic opportunities with prioritized implementation roadmap.
• Develop and implement AI governance framework addressing model risk management, data privacy, algorithmic bias, and ethical AI deployment standards.
• Launch Scale Agentic AI initiative by identifying and deploying 3-5 high-impact AI agents across origination, closing, and servicing workflows.
• Establish BWE's AI Center of Excellence with standardized processes, tools, and methodologies for AI project evaluation, development, and deployment.
• Research and recommend AI platform strategy including vendor selection, integration architecture, and cost optimization across multiple AI providers.
• Create AI performance measurement framework tracking business impact, user adoption, cost efficiency, and risk metrics with executive reporting.
• Partner with business leadership to identify and validate AI use cases that drive measurable improvements in revenue, efficiency, or customer experience.
• Develop AI talent acquisition and development strategy including skill requirements, training programs, and organizational capability building.
• Establish vendor relationships and strategic partnerships with key AI providers ensuring optimal pricing, support, and innovation access.
• Complete advanced AI leadership training and maintain awareness of emerging technologies relevant to financial services applications.

• 8+ years of experience in data science, AI/ML, automation, or technology leadership roles with 3+ years in executive or senior leadership capacity.
• Proven experience deploying AI solutions in enterprise environments, preferably within Microsoft ecosystems and cloud platforms.
• Deep familiarity with Generative AI, machine learning pipelines, responsible AI frameworks, and enterprise automation technologies.
• Strong strategic thinking, cross-functional leadership, and executive-level stakeholder communication skills.
• Experience with AI governance, risk management, and regulatory compliance in enterprise environments.
• Knowledge of financial services industry regulations and AI risk management requirements.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; advanced degree preferred.
• Demonstrated track record of building and leading high-performing technical teams.

• Advanced degree (MS/PhD) in Artificial Intelligence, Machine Learning, Computer Science, or related field.
• Experience in CRE, mortgage banking, or regulated industries with complex compliance requirements.
• Professional certifications in AI/ML platforms (Microsoft AI, AWS ML, Google Cloud AI) or related technologies.
• Previous experience leading digital transformation initiatives involving AI adoption and organizational change management.
• Knowledge of emerging AI technologies including agentic AI, multimodal AI, and AI orchestration platforms.
• Experience with AI vendor management, contract negotiation, and strategic partnership development.
• Track record of driving measurable business outcomes through AI implementation in enterprise environments.

Job Description

We are looking for a Senior Research Engineer to support the development of next-generation generative AI powered solutions for Oracle Analytics. As a software developer embedded in an applied science team you will work closely with both scientists and engineers to implement, improve, and productionize cutting-edge scientific solutions for Oracle's analytics platforms and applications. You will be responsible for streamlining machine learning operations, implementing highly scalable experimentation and evaluation infrastructure, and optimizing code for operational performance. You will have an opportunity to deepen your knowledge of AI/Generative AI and, jointly with Applied Scientists, engage in forward-looking science development. Demonstrated experience implementing, scaling, and productionizing complex AI solutions is required. The successful candidate will have in-depth experience with MLOps, LLMs, prompt engineering, fine-tuning, data processing pipelines, and evaluation pipelines. Familiarity with frameworks such as OpenSearch, LangChain/LangGraph is required; hands-on experience with distributed training and inference frameworks as well as SQL and analytics tools is a plus.

Nous cherchons un spécialiste en recherche senior pour appuyer le développement de solutions d'IA générative de nouvelle génération pour Oracle Analytics. En tant que développeur logiciel intégré à une équipe de sciences appliquées, vous collaborerez étroitement avec des chercheurs et des spécialistes pour concevoir, perfectionner et mettre en production des solutions scientifiques de pointe destinées aux plateformes et applications analytiques d'Oracle. Vous serez responsable de rationaliser les opérations d'apprentissage automatique, de mettre en place une infrastructure d'expérimentation et d'évaluation hautement évolutive, et d'optimiser le code pour maximiser la performance opérationnelle. Vous aurez l'occasion d'approfondir vos connaissances en IA et en IA générative et, en collaboration avec des chercheurs appliqués, de participer à des travaux scientifiques prospectifs. Une expérience démontrée dans la mise en œuvre, la mise à l'échelle et l'industrialisation de solutions d'IA complexes est requise. Le candidat retenu doit posséder une solide expérience des MLOps, des LLM, de l'ingénierie des invites, du réglage fin, ainsi que des pipelines de traitement et d'évaluation des données. Une bonne connaissance de cadres comme OpenSearch et LangChain/LangGraph est requise; une expérience pratique des cadres de formation et d'inférence distribuées, ainsi que des outils SQL et d'analyse, constitue un atout.

Responsibilities

Responsibilities:

• Develop and maintain efficient tooling and infrastructure for research experimentation.

• Implement model prototypes, optimize code for speed and scalability.

• Run experiment series and ablation studies.

• Collaborate closely with cross-functional teams to deliver solutions into various applications and products.

• Guide junior scientists and engineers on best practices for software development.

• Keep abreast of industry developments and innovations in AI computing.

• Engage in customizing AI solutions for specific verticals or customers.

Qualifications and Experience:

• MS or PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years of work experience.

• Hands-on experience in generative AI model/application implementation and evaluation.

• Hands-on experience implementing experimentation frameworks, data pipelines, MLOps.

• Solid understanding of generative AI and deep learning algorithms and architectures.

• Excellent problem-solving and analytical skills.

• Excellent proficiency in Python/PyTorch/Pyspark, MLFlow, SQL, Scikit-learn, Git, Bash, SLURM, Linux/Unix.

• Familiarity with a cloud-computing environment (OCI, AWS, GCP, Azure).

• Knowledge of Oracle Analytics platforms and services is a plus.

• Familiarity with LangGraph, OpenSearch, LLM APIs, MCP, A2A.

• Ability to iterate quickly and work in a fast-paced environment.

• Strong communication skills and ability to work successfully with both applied scientists and engineering teams.

Career Level - IC3

Responsabilités :

• Concevoir et maintenir des outils et une infrastructure efficaces pour l'expérimentation en recherche.

• Implanter des prototypes de modèles et optimiser le code pour la rapidité et l'évolutivité.

• Mener des séries d'expériences et des études d'ablation.

• Collaborer étroitement avec des équipes interfonctionnelles pour fournir des solutions destinées à diverses applications et produits.

• Guider les chercheurs et spécialistes juniors quant aux meilleures pratiques en développement logiciel.

• Se tenir au fait des avancées et innovations du secteur en IA.

• Contribuer à la personnalisation de solutions d'IA pour des secteurs d'activité ou des clients spécifiques.

Qualifications et expérience :

• Maîtrise ou doctorat en informatique, en mathématiques, en statistiques, en génie ou dans un domaine connexe, et au moins cinq ans d'expérience professionnelle.

• Expérience concrète dans la mise en œuvre et l'évaluation de modèles et d'applications d'IA générative.

• Expérience concrète dans la mise en œuvre de cadres d'expérimentation, de pipelines de données et de MLOps.

• Solide compréhension de l'IA générative, ainsi que des algorithmes et des architectures d'apprentissage profond.

• Excellentes aptitudes en résolution de problèmes et en analyse.

• Excellente maîtrise de Python, PyTorch, PySpark, MLFlow, SQL, Scikit-learn, Git, Bash, SLURM, Linux/Unix.

• Bonne connaissance d'un environnement infonuagique (OCI, AWS, GCP, Azure).

• La connaissance des plateformes et des services Oracle Analytics constitue un atout.

• Connaissance de LangGraph, d'OpenSearch, des API LLM, de MCP et d'A2A.

• Capacité à améliorer les solutions rapidement et à évoluer dans un environnement dynamique.

• Solides compétences en communication et capacité à collaborer efficacement avec des équipes de chercheurs appliqués et de spécialistes.

Niveau hiérarchique IC3

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

CA: Hiring Range in CAD from: $66,800 to $45,900 per annum.

US: Hiring Range in USD from: 79,800 to 178,100 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to

Job Description

OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.

Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and Infiniband.

Why Join Us?

• Innovative Projects: Build groundbreaking solutions for our customers from the ground up.

• Exciting Times: Be part of a young, fast-growing team working on ambitious new initiatives.

• Dynamic Environment: Collaborate in a vibrant, agile environment where learning and adaptability are key

What We're Looking For:

• Adaptable Engineers: Self-motivated individuals with a quick learning ability.

• Technical Excellence: Rock-solid developers and distributed systems engineers with a deep understanding of distributed systems and algorithms. Comfortable diving deep into any part of the stack, as well as software debugging and low-level systems troubleshooting.Passion for Simplicity and Scale: Value simplicity and scalability in design and implementation.Collaborative Spirit: Comfortable working in a collaborative, agile environment and eager to learn. Ability to collaborate effectively with various dependencies, including Network and Data Center operations.

Join us and be a part of the team that's pushing the boundaries of AI technology!

Minimum Qualifications

• BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience

• Deep understanding of operating systems, computer networks, and high-performance applications

• 4+ years' experience delivering and operating large-scale production systems (1000+ server instances)

• Proficient in one programming language(java/python/c/c++/goLang/shell scripting)

Preferred Qualifications

• Strong background in Linux systems

• Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

• General enterprise storage, networking, or computing experience

Career Level - IC3

Responsibilities

As a member of the software engineering division, you will

• Designing, implementing, and delivering software, firmware for managing GPU based AI servers

• Working closely with product teams to debug, resolve customer's issues.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $79,800 to $178,100 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to

Job Description

As a Principal Member of Technical Staff, you will be a key contributor to the development and success of our next-generation CDA platform, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike. We are seeking a candidate with a good understanding of current AI trends and the ability to grasp the synergy between Software Development Engineering and Machine Learning Engineering. Additionally, proficiency in multiple programming languages is essential, with a focus on adaptability, as we work with Python, Java, and other languages interchangeably.

Responsibilities

Responsibilities:

• Lead the design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications.

• Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture.

• Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems.

• Implement data modeling and database design to support complex healthcare data structures and relationships.

• Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.

• Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow.

• Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.

• Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.

• Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.

Qualifications:

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.

• 6+ years of relevant software development experience, with a focus on backend and data-centric applications.

• Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.

• Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.

• Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.

• In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls.

• Proficiency in Oracle Database and search technologies such as Opensearch, Pinecone, and Oracle Golden Gate Replication.

• Experience with data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ.

• Understanding of system design and distributed systems architecture best practices.

• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).

• Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.

• Demonstrated technical leadership and a passion for mentoring junior team members.

Why Oracle Health?

• Be part of a groundbreaking initiative to modernize and automate patient-centric healthcare globally.

• Work with cutting-edge AI and cloud technologies, pushing the boundaries of what's possible in healthcare.

• Enjoy a collaborative and dynamic team environment that values innovation and creativity.

• Competitive compensation and benefits package, including professional development opportunities.

• Make a meaningful impact on the lives of patients and healthcare providers worldwide.

If you possess the required qualifications and are excited to contribute to the future of healthcare technology, we encourage you to apply. Please submit your updated resume Let's discuss how you can help us transform the healthcare industry through the power of AI and innovative data platform engineering!

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to

Job Description

Job Description : Are you ready to embark on a journey that will revolutionize healthcare and improve patient outcomes on a global scale? The Oracle Health division is leading the charge in healthcare innovation, and we are seeking an exceptional Principal Member of Technical Staff to join our Clinical Digital Assistant (CDA) team where you will be at the heart of this transformative mission.

The Role: As a Principal Member of Technical Staff, you will be a key contributor to the development and success of our next-generation CDA platform, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike.

Responsibilities:

• Lead the design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications.

• Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture.

• Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems.

• Implement data modeling and database design to support complex healthcare data structures and relationships.

• Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.

• Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow.

• Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.

• Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.

• Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.

Responsibilities

Qualifications:

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.

• 4-12 years of relevant software development experience, with a focus on backend and data-centric applications.

• Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.

• Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.

• Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.

• In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls.

• Proficiency in Oracle Database and search technologies such as Opensearch, Pinecone, and Oracle Golden Gate Replication.

• Experience with data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ.

• Understanding of system design and distributed systems architecture best practices.

• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).

• Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.

• Demonstrated technical leadership and a passion for mentoring junior team members.

Why Oracle Health?

• Be part of a groundbreaking initiative to modernize and automate patient-centric healthcare globally.

• Work with cutting-edge AI and cloud technologies, pushing the boundaries of what's possible in healthcare.

• Enjoy a collaborative and dynamic team environment that values innovation and creativity.

• Competitive compensation and benefits package, including professional development opportunities.

• Make a meaningful impact on the lives of patients and healthcare providers worldwide.

If you possess the required qualifications and are excited to contribute to the future of healthcare technology, we encourage you to apply. Please submit your updated resume Let's discuss how you can help us transform the healthcare industry through the power of AI and innovative data platform engineering!

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to

Job Description

OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.

Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and Infiniband.

Why Join Us?

• Innovative Projects: Build groundbreaking solutions for our customers from the ground up.

• Exciting Times: Be part of a young, fast-growing team working on ambitious new initiatives.

• Dynamic Environment: Collaborate in a vibrant, agile environment where learning and adaptability are key.

What We're Looking For:

• Adaptable Engineers: Self-motivated individuals with a quick learning ability.

• Technical Excellence: Rock-solid developers and distributed systems engineers with a deep understanding of distributed systems and algorithms. Comfortable diving deep into any part of the stack, as well as software debugging and low-level systems troubleshooting.

• Passion for Simplicity and Scale: Value simplicity and scalability in design and implementation.

• Collaborative Spirit: Comfortable working in a collaborative, agile environment and eager to learn. Ability to collaborate effectively with various dependencies, including Network and Data Center operations.

Join us and be a part of the team that's pushing the boundaries of AI technology!

Minimum Qualifications

• BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience

• Deep understanding of operating systems, computer networks, and high-performance applications

• 6+ years' experience delivering and operating large-scale production systems (1000+ server instances)

• Proficient in one programming language(java/python/c/c++/goLang/shell scripting)

• Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.

• Proven ability to deliver products and experience with the full software development lifecycle

Preferred Qualifications

• Strong background in Linux systems

• Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

• General enterprise storage, networking, or computing experience

• Experience with Server/GPU hardware architecture and system management.

• Experience with Infiniband or RoCE networking

• Hands-on experience designing, developing, and operating public cloud service data planes

• Good understanding of databases and SQL (MySQL) and caching technologies (Redis, Memcache etc)

Career Level - IC4

Responsibilities

As a member of the software engineering division, you will be

• Designing, implementing, and delivering software, firmware for managing GPU based AI servers

• Working closely with partner teams to deliver high quality software to manage, triage and repair GPU systems

• Working closely with product teams to debug, resolve customer's issues.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to

Job Description

OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.

Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and Infiniband.

Why Join Us?

• Innovative Projects: Build groundbreaking solutions for our customers from the ground up.

• Exciting Times: Be part of a young, fast-growing team working on ambitious new initiatives.

• Dynamic Environment: Collaborate in a vibrant, agile environment where learning and adaptability are key.

What We're Looking For:

• Adaptable Engineers: Self-motivated individuals with a quick learning ability.

• Technical Excellence: Rock-solid developers and distributed systems engineers with a deep understanding of distributed systems and algorithms. Comfortable diving deep into any part of the stack, as well as software debugging and low-level systems troubleshooting.

• Passion for Simplicity and Scale: Value simplicity and scalability in design and implementation.

• Collaborative Spirit: Comfortable working in a collaborative, agile environment and eager to learn. Ability to collaborate effectively with various dependencies, including Network and Data Center operations.

Join us and be a part of the team that's pushing the boundaries of AI technology!

Minimum Qualifications

• BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience

• Deep understanding of operating systems, computer networks, and high-performance applications

• 4+ years' experience delivering and operating large-scale production systems (1000+ server instances)

• Proficient in one programming language(java/python/c/c++/goLang/shell scripting)

Preferred Qualifications

• Strong background in Linux systems

• Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

• General enterprise storage, networking, or computing experience

• Good understanding of databases and SQL (MySQL) and caching technologies (Redis, Memcache etc)

Career Level - IC3

Responsibilities

As a member of the software engineering division, you will be

• Designing, implementing, and delivering software, firmware for managing GPU based AI servers

• Working closely with partner teams to deliver high quality software to manage, triage and repair GPU systems

• Working closely with product teams to debug, resolve customer's issues.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $79,800 to $178,100 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to