5,428 Ibm jobs in the United States

Job Description

Details/Required skills:

• SAP ECC FI/CO - the resource should have background in Costing and COPA for a manufacturing company as primary skills, plus experience in Fixed Assets and Intercompany.
• Should have a Business background to design solutions with the business resources, not just functional/technical configuration.

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Code: 29092

Job Location: Palm Bay, FL, Greenville, TX, Plano, TX, Anaheim, CA, or Camden, NJ

Schedule: 9/80 (Every Other Friday Off)

The IMS Artificial Intelligence team is seeking an experienced AI/ML lead with a strong background in application development, artificial intelligence, machine learning, and generative AI. This position will focus on supporting and advancing the Segment’s AI/ML frameworks, with an emphasis on strategy, design, development, and seamless adoption of AI solutions across the segment.

• Strategic AI/ML Solution Development: Champion the AI integration strategy to support reliable and informed decision-making across the enterprise. Oversee the design, build, and maintenance of robust AI/ML solutions that align with business goals.
• Expertise in AI Solution Development: Extensive experience in developing AI solutions across various business domains, including computer vision, task optimization, data analytics, and natural language processing models. Proficiency in the full life cycle of AI development, including software stacks and infrastructure necessary to realize strategic AI vision.
• Model and Data Optimization: Guide the creation, updating, and optimization of AI models, datasets, and data transformations to meet evolving business needs. Ensure the consistent and accurate flow of data from source systems to AI solutions.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to uphold security standards and ensure the integrity of AI data inputs and outputs. Act as a liaison between technical teams and business stakeholders to align AI initiatives with overarching business strategies.

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field and 12+ years of relevant experience; or a Master’s degree and 10+ years of experience.
• Proven hands-on experience developing and deploying AI/ML models across multiple domains (e.g., computer vision, NLP, task optimization, data analytics).
• Proficiency with AI/ML frameworks and tools.
• Experience with the full AI lifecycle: data preparation, model design/training, validation, deployment, and monitoring.
• Demonstrated ability to translate business or mission requirements into AI/ML solutions that deliver measurable outcomes.
• Strong understanding of data pipelines, optimization, and infrastructure for AI/ML, including cloud or on-premises environments.
• Excellent collaboration and communication skills; ability to work with cross-functional teams and present technical content to non-technical stakeholders.
• U.S. Citizenship required; ability to obtain and maintain a DoD security clearance.

• Experience applying AI/ML in aerospace, defense, or other mission-critical environments, including edge AI or constrained computing.
• Familiarity with generative AI and large language models (LLMs), including prompt engineering and RAG pipelines.
• Experience integrating AI into enterprise workflows or business operations to improve efficiency and decision-making.
• Knowledge of MLOps practices and tools such as MLflow, Kubeflow, or similar frameworks for model deployment and lifecycle management.
• Exposure to compliance frameworks and ATO processes for deploying AI in secure or classified environments.
• Track record of patents, publications, or conference presentations in AI/ML or related fields.
• Demonstrated ability to mentor junior engineers or scientists in AI/ML best practices.

In compliance with pay transparency requirements, the salary range for this role is $135,000 - $288,000. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination.

Job Title: AI Engineer

Location: McLean, VA

Employment Type: Full-Time

Reports To: Chief Technology Officer

At Bytemethod.ai a Dexian company we are seeking a passionate and motivated Junior or Entry‑Level AI Engineer to join our growing team. This role is ideal for candidates eager to apply foundational machine learning and software engineering skills to real‑world AI applications. The ideal candidate has a strong technical background, curiosity for emerging AI technologies, and a willingness to learn in a fast‑paced environment. This is an exciting opportunity for a recent graduate who’s eager to apply artificial intelligence, data science, and automation to drive smarter business solutions and client outcomes.

As an AI Engineer, you’ll work closely with the Bytemethod AI team to assist in designing, developing, and deploying AI and machine learning models for various business applications. You’ll gain hands‑on experience in the full AI lifecycle—from demos, POCs, running pilots and optimization—while learning from experienced engineers and leaders in the field.

• Assist in developing, testing, and deploying AI and ML models to support Bytemethod’s internal operations and technology‑driven solutions.
• Collaborate with data scientists, software engineers, and automation specialists to identify opportunities for AI integration and process optimization.
• Support data collection, cleansing, and analysis for model development and performance tracking.
• Implement and maintain AI workflows, pipelines, and automation scripts using Python and relevant frameworks.
• Research and experiment with emerging AI technologies and contribute to the optimization and evaluation of model performance using appropriate metrics.
• Contribute to documentation, technical presentations, and cross‑functional collaboration efforts.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
• Entry level experience i.e. internship program or 1 year out of college working within AI or ML.
• Foundational understanding of large language models, machine learning, deep learning, and model training techniques.
• Proficiency in Python and familiarity with libraries such as NumPy, Pandas, and Scikit‑learn.
• Strong analytical and problem‑solving skills with a focus on real‑world applications.
• Familiarity with SQL, data visualization tools, and version control (Git).
• Excellent communication and collaboration skills, with a growth mindset and eagerness to learn.

• Internship or project experience in AI, ML, or automation.
• Exposure to MLOps tools (MLflow, Docker, Airflow) or cloud platforms (AWS, Azure, GCP).
• Knowledge of at least one deep learning framework (TensorFlow or PyTorch).
• Interest in how AI can transform the recruiting and workforce solutions industry.

• Work on high‑impact AI initiatives within a fast‑paced, people‑first technology organization.
• Gain mentorship from experienced AI engineers and technology leaders.
• Access professional development programs, certifications, and continuous learning opportunities.
• Be part of a collaborative, innovative, and purpose‑driven culture that values growth, diversity, and creativity.
• Get the best of both worlds: benefits and stability of a big company with the fun and engaging startup culture.

Seniority level: Entry level

Employment type: Full‑time

Job function: Data Infrastructure and Analytics and Staffing and Recruiting

We are building a world-class AI team dedicated to pushing the boundaries of what's possible in Miami, Florida.

Senior AI Recruiter (Artificial Intelligence)

Job Summary

We are seeking an experienced and technically savvy AI Recruiter to join our dynamic talent acquisition team. This role is responsible for identifying, attracting, and hiring top-tier talent in the highly competitive artificial intelligence, machine learning, and data science fields. The ideal candidate has a deep understanding of AI technologies, strong networking skills, and a strategic approach to sourcing and engaging with specialized candidates.

Experience hiring for AI positions at the Executive level will be required.

• Create and implement sourcing strategies to attract candidates for AI-focused roles, using channels such as LinkedIn, ATS system and more
• Develop and maintain a talent pipeline for future hiring needs.
• Engage with candidates throughout the hiring process, from initial contact to onboarding.
• Assess candidates' technical qualifications in collaboration with engineering teams and hiring managers.
• Partner with hiring managers and technical leaders to define role requirements and develop recruitment strategies, offering market insights.
• Use data to track metrics and optimize the hiring process.
• The job will also involve managing the offer negotiation process and staying up-to-date on AI industry trends and hiring practices.

Qualifications

• Experience & Skills: Multiple years of technical recruiting experience focusing on AI, machine learning, and data science positions, with strong knowledge of AI technologies and concepts like machine learning, deep learning, NLP, and data science. Experience sourcing specialized candidates via platforms like LinkedIn Recruiter, GitHub, and Kaggle is also required.
• Attributes: Excellent interpersonal, communication, and negotiation skills, as well as the ability to manage multiple open roles in a fast-paced environment.
• System Knowledge: Familiarity with modern applicant tracking systems (ATS) and talent CRMs.
• Collaboration: Experience working with engineering teams to assess technical skills is needed.

Preferred Qualifications

• A degree in Computer Science, Engineering, or a related field, and experience hiring for senior AI or machine learning roles.
• An existing network within the AI and research communities.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Human Resources

We are an equal opportunities employer and welcome applications from all qualified candidates.

Description

SAIC is seeking an experienced AI Engineer to support one of our Intelligence customers. The ideal candidate will possess a strong background in AI, data science, or software engineering. This funded role involves leveraging advanced analytical techniques and agentic data discovery methodologies to enhance the program's data exploitation capabilities and reduce reliance on manual data processing.

Key Responsibilities:

• Utilize advanced analytical techniques and agentic data discovery methodologies to analyze disparate data sources across the Intelligence Community (IC) and other agencies.
• Develop and implement AI/ML solutions to accelerate data aggregation and the identification of emerging threats to national security.
• Enhance the program's capabilities to exploit large datasets and identify correlations and threat vectors.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver AI solutions that meet program objectives.
• Stay current with emerging AI/ML technologies and best practices to ensure the program remains at the forefront of technological advancements.
• Provide guidance and mentorship to non-technical team members on AI/ML methodologies and best practices.
• Create and maintain documentation for AI/ML models, algorithms, and processes.

Qualifications

• Active TS/SCI with Polygraph is required.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred.
• Minimum of 8 years of experience in AI, data science, or software engineering.
• Extensive knowledge of advanced analytical techniques and agentic data discovery methodologies.
• Proven experience with disparate data sources and integrating data from multiple agencies or sectors.
• Strong understanding of AI/ML models, algorithms, and tools.
• Experience with programming languages and tools such as Python, R, TensorFlow, PyTorch, and other AI/ML frameworks.
• Familiarity with data processing platforms such as Hadoop, Spark, and cloud services (AWS, Azure, GCP).
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.
• Excellent problem-solving skills and the ability to think critically and strategically.
• Strong communication and interpersonal skills to effectively collaborate with stakeholders and present findings.
• Experience working within the Intelligence Community (IC) or other government agencies.
• TS/SCI with Poly

Preferred Qualifications:

• Knowledge of national security threats and data exploitation strategies.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.

Overview

We build and field-test practical autonomy and sensing systems using commercial off-the-shelf parts. You’ll contribute software that powers two live programs: a semi-autonomous ground rover (ArduPilot-based) and a solar-powered water-quality station (Arduino-based) — both designed for fast, repeatable deployments and dual-use relevance. (Rover scope reference.)

We’re hiring an Entry-Level AI Engineer to turn research into reliable, production-grade features—especially around LLMs, retrieval, evaluation, and safety —with a primary focus on Python (and some Java for service integration).

• Develop and maintain software using Java and Python for robotics, sensing, and data pipelines.
• Collaborate with hardware engineers to integrate code with sensors, navigation systems, and telemetry streams.
• Write clean, testable code for simulations, QA tools, and field-ready deployments.
• Contribute to debugging and troubleshooting during lab and field operations.
• Regularly propose new features and solutions to improve autonomy, reliability, and usability.
• Stay updated on emerging software tools, frameworks, and defense technology applications.

Bachelor's degree or entry-level knowledge in:

• Computer Science, Computer Engineering, Electrical Engineering, or related fields
• Information Technology or Data Science with strong software development experience

Must-haves:

• Proficiency in Java and Python
• Familiarity with Git, Linux, and common development workflows
• Strong problem-solving and debugging skills
• Ability to work independently and in small teams
• Organized, detail-oriented, and capable of meeting deadlines consistently

• Experience with APIs, data visualization, or scripting for simulations
• Exposure to Arduino, embedded systems, or robotics frameworks
• Knowledge of databases, REST, or MQTT/HTTP telemetry
• Participation in software internships, defense/engineering clubs, or relevant projects

• Competitive pay at $40/hour with flexible hybrid/remote options and/or CPT/OPT letter per request
• Hands-on experience coding for real robots and deployed sensors
• Direct mentorship from engineers with defense and industry backgrounds
• Opportunity to earn referrals to major defense companies
• A fast-paced, practical environment where your work gets tested in the field

We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.

Overview

Founding AI Engineer | Build the Future of Insurance Intelligence. Base pay range: $150,000.00/yr - $00,000.00/yr. This role focuses on building AI-powered systems to interpret complex insurance documents, not just chatbots. The position involves creating reasoning AI that can interpret coverage, identify gaps, and transform how a 1.4T industry operates.

Insurance still runs on 100+ page documents written by lawyers, for lawyers — and professionals spend hours comparing them. We’re developing AI to make these documents readable by humans and machines.

• Own and evolve a production LLM application stack — designing intelligent, high-performing systems beyond basic RAG
• Architect sophisticated LLM workflows for complex policy interpretation
• Build multi-step reasoning agents and decision-making systems
• Develop evaluation frameworks, monitoring tools, and cost-optimization pipelines
• Master vector databases and semantic search for legal and insurance data

• Proven experience building and deploying advanced LLM applications
• Deep understanding of prompt engineering, agentic systems, and evaluation frameworks
• Strong background with LangChain, LlamaIndex, or similar
• Thrive in founder-led, fast-moving environments where you take full ownership
• Passionate about solving real-world challenges with meaningful impact

This is an opportunity to define the AI foundation of a venture-backed startup working with several of the largest US insurance brokers.

Location: Hybrid if you are based in Chicago. Remote if you are based in either New York or San Francisco.

Must be a US citizen or Green card holder.

• Mid-Senior level

• Full-time

• Industries: Financial Services, Insurance, and Insurance Agencies and Brokerages

We're working with a San Francisco client that has a research team of 50+ professionals and is looking to expand its AI Infra team.

We are one of the top 3 funded ventures in the United States.

This role focuses on building and supporting AI infrastructure from the ground up, enabling the development of AI modal products.

• Core AI data infrastructure expertise.
• Experience building systems from scratch.
• Hands‑on experience developing AI modal products.
• Expertise with LLMS/RAG technologies.

Base salary: $325,000–$00,000

Sign‑on bonuses and equity available.

Total compensation package ranges from $1 M to 2.5 M.

Location: San Francisco, CA.

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Stuut is an engineering-driven company revolutionizing B2B financial operations through cutting‑edge AI technology. Backed by top‑tier investors, including a16z, Khosla, Activant, 1984 Ventures, Vesey and Page One, we’re building intelligent systems that transform how businesses handle financial workflows. Our AI-powered platform tackles complex challenges in invoice matching, payment reconciliation, and automated financial operations.

We’re seeking an exceptional Senior/Staff AI Engineer to drive the development of our core AI systems and infrastructure. This role will be instrumental in building and scaling our AI capabilities, from RAG pipelines to custom model fine‑tuning for financial applications. The ideal candidate combines deep technical expertise in AI/ML with strong systems engineering skills and a passion for solving complex financial technology challenges.

• Design and implement production‑grade AI systems, including RAG pipelines, fine‑tuning workflows, and MLOps infrastructure
• Lead the development of intelligent systems for invoice matching, payment reconciliation, and financial document processing
• Architect and build scalable data pipelines to support AI model training and inference
• Develop and implement AI planning systems for automated financial workflows
• Drive technical decisions around model selection, fine‑tuning strategies, and system architecture
• Collaborate with product and engineering teams to integrate AI capabilities into our core platform
• Establish best practices for model evaluation, monitoring, and performance optimization
• Contribute to building a strong AI engineering culture

• 4+ years of software engineering experience, with at least 2 years focused on building production AI systems
• Extensive experience with modern AI/ML technologies, including: Large Language Models (LLMs) and fine‑tuning; Retrieval Augmented Generation (RAG); MLOps and model deployment; Vector databases and efficient retrieval systems
• Strong programming skills in Python and experience with AI frameworks (PyTorch, TensorFlow, etc.)
• Proven track record of building and deploying large‑scale AI systems in production
• Deep understanding of ML infrastructure, including training pipelines and serving architectures
• Experience with data pipeline development and large‑scale system integration
• Strong background in backend systems development and distributed systems
• Excellence in technical communication and documentation

• Master’s or PhD in Computer Science, Machine Learning, or related field
• Research experience or publications in ML/AI
• Experience with financial technology or financial document processing
• Familiarity with AI agents and planning systems
• Track record of open‑source contributions to ML/AI projects
• Experience with cloud platforms (AWS, GCP, Azure) and containerization
• Knowledge of financial operations workflows and challenges

• Core Stack: Python, TypeScript
• ML Tools: Weights & Biases, MLflow

• Competitive salary and equity package
• Health, dental, and vision insurance
• Flexible PTO policy
• Parental leave
• Work in either NYC or SF