20,065 AI Specialist jobs in the United States

• Pivotal purpose
• Trusted guardian
• Targeted innovation
• Facilitate connections
• Delivering excellence
• Inclusive culture

• Functional title - Vice President, AI Specialist
• Department - Technology
• Corporate level - Vice President
• Report to - Director, Enterprise Architect
• Location - Iselin, NJ or New York, NY
• Expected full-time salary range between $ 140,000 - $180,000 + variable compensation + 401(k) match + benefits.

• Remaining current in the AI domain from a technology perspective, including toolsets, platforms, and frameworks, and providing regular insights to the AI Committee and CLS leadership.
• Providing technical guidance on the development and execution of AI solutions to support CLS's business strategy.
• Collaborating with the AI Governance Officer and business stakeholders to identify and prioritize AI use cases.
• Developing training and communications to improve AI awareness across technology and business teams.
• Supporting AI-related project design and delivery, including assessments of third-party vendors and tooling for each use case.
• Working closely with the solution architecture and engineering teams to ensure that AI solutions are technically sound and aligned with CLS architecture standards.
• Participating in troubleshooting and incident resolution processes related to AI technologies.
• Supporting AI governance during project execution, including technical controls and compliance with CLS risk standards.

• Prior experience in technology strategy, innovation, or architecture roles, ideally with exposure to AI, machine learning, and emerging technologies.
• Strong understanding of the evolving AI ecosystem and emerging technologies relevant to the financial services industry.
• Familiarity with AI frameworks and toolsets including cloud-based ML platforms, open-source libraries, and vendor ecosystems.
• Demonstrated experience in developing and implementing AI architectures or integrating AI products.
• Ability to evaluate third-party solutions and provide recommendations based on performance, integration complexity, and risk.
• Solid understanding of regulatory expectations and industry frameworks such as NIST AI RMF, UK/EU AI Act, and ISO standards.
• Excellent collaboration skills and the ability to work across business and technology functions.
• Strong organizational, analytical, and problem-solving skills.
• Ability to clearly communicate technical concepts to both technical and non-technical audiences.
• Passion for responsible AI innovation and a continuous learning mindset.

• Bachelor's degree in Computer Science, Engineering, or related technical discipline.
• Relevant technical certifications in architecture, cloud, or AI/ML platforms are desirable.
• Knowledge of AI governance frameworks and technology risk standards (e.g., ISO 27001, NIST) is highly desirable.

• Holiday - UK/Asia: 25 holiday days and 3 'life days' (in addition to bank holidays). US: 23 holiday days.
• 2 paid volunteer days so that you can actively support causes within your community that are important to you.
• Generous parental leave policies to ensure you can enjoy valuable time with your family.
• Parental transition coaching programmes and support services.
• Wellbeing and mental health support resources to ensure you are looking after yourself, and able to support others.
• Employee Networks (including our Women's Forum, Black Employee Network and Pride Network) in support of our organisational commitment to embrace and always be learning more about inclusivity.
• Hybrid working to promote a healthy work/life balance, enabling employees to work collaboratively in the office when needed and work from home when they don't.
• Active support of flexible working for all employees where possible.
• Monthly 'Heads Down Days' with no meetings across the whole company.
• Generous non-contributory pension provision for UK/Asia employees, and 401K match from CLS for US employees.
• Private medical insurance and dental coverage.
• Social events that give you opportunities to meet new people and broaden your network across the organisation.
• Annual flu vaccinations.
• Discounts and savings and cashback across a wide range of categories including health and retail for UK employees.
• Discounted Gym membership - Complete Body Gym Discount/Sweat equity program for US employees.
• All employees have access to Discover - our comprehensive learning platform with 1000+ courses from LinkedIn Learning.
• Access to frequent development sessions on a number of topics to help you be successful and develop your career at CLS.

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

AI specialist :: Remote (EST)
Contract

Role summary
An important role in helping to scale client's generative AI capabilities. Working centrally across advertising, PR and med comms teams this will involve a mix of technical ability, internal collaboration and advocacy, as well as client facing capability.
This hands-on role will be based in either Europe and US (two roles to be filled), with day-to-day access to internal and client teams, both virtually and face to face in order to participate in meetings, workshops and training as needed.
Responsibilities
Working with central Communications innovation function to drive and scale adoption of cutting-edge generative AI tools and techniques across the Comms business.
Helping to develop and manage existing and future generative AI tools, with an initial focus on retrieval augmented generation (RAG).
Working with internal teams to help educate and support their journey to fully embracing generative AI.
Participating in conversations with Comms clients about these new generative AI approaches, designing and delivering billable client projects.
Experience and skills required
Strong level of knowledge in generative AI and related technologies and techniques, demonstrable level of interest in the latest developments in this field.
Good knowledge of Python, ability to write and edit code, ability to help identify, structure and prep data for input into RAG tools, as well as some front-end developer experience.
Background in computer science and or data science.
Good communication capabilities in terms of being able to explain and educate internal teams around new technologies.
Comfort with and some experience in working in client facing situations, in order to help identify, design and deliver gen AI related projects and pilots.
Excellent problem-solving skills and the ability to think analytically and strategically.
Ability to work independently and manage multiple projects simultaneously.

For more information and other jobs available please contact our recruitment team at To view all the jobs available in the USA and Asia please visit our website at

The AI Specialist supports the evolution and maintenance of technology strategy and ensures AI solutions are aligned with overall business goals. Reporting into the CTO organization, the AI Specialist is responsible for staying current on emerging technologies in the AI space, contributing to AI project design and implementation, and collaborating with business units to shape and execute AI use cases. The AI Specialist partners closely with the AI Governance Officer, solution architects, and engineering teams to support technical feasibility, architecture design, vendor/tooling evaluation, and implementation.
The AI Specialist plays a central role in enabling the responsible use of Artificial Intelligence at, ensuring technical rigor in all AI-related development and operations. They support project teams with architectural oversight, vendor/tool selection, and issue resolution, and provide guidance on AI technical risks, performance, and optimization.

The AI Specialist will be responsible for:

• Remaining current in the AI domain from a technology perspective, including toolsets, platforms, and frameworks, and providing regular insights to the AI Committee and leadership.
• Providing technical guidance on the development and execution of AI solutions to support business strategy.
• Collaborating with the AI Governance Officer and business stakeholders to identify and prioritize AI use cases.
• Developing training and communications to improve AI awareness across technology and business teams.
• Supporting AI-related project design and delivery, including assessments of third-party vendors and tooling for each use case.
• Working closely with the solution architecture and engineering teams to ensure that AI solutions are technically sound and aligned with architecture standards.
• Participating in troubleshooting and incident resolution processes related to AI technologies.
• Supporting AI governance during project execution, including technical controls and compliance with risk standards.

• Prior experience in technology strategy, innovation, or architecture roles, ideally with exposure to AI, machine learning, and emerging technologies.
• Strong understanding of the evolving AI ecosystem and emerging technologies relevant to the financial services industry.
• Familiarity with AI frameworks and toolsets including cloud-based ML platforms, open-source libraries, and vendor ecosystems.
• Demonstrated experience in developing and implementing AI architectures or integrating AI products.
• Ability to evaluate third-party solutions and provide recommendations based on performance, integration complexity, and risk.
• Solid understanding of regulatory expectations and industry frameworks such as NIST AI RMF, UK/EU AI Act, and ISO standards.
• Excellent collaboration skills and the ability to work across business and technology functions.
• Strong organizational, analytical, and problem-solving skills.
• Ability to clearly communicate technical concepts to both technical and non-technical audiences.
• Passion for responsible AI innovation and a continuous learning mindset.

• Bachelor's degree in Computer Science, Engineering, or related technical discipline.
• Relevant technical certifications in architecture, cloud, or AI/ML platforms are desirable.
• Knowledge of AI governance frameworks and technology risk standards (e.g., ISO 27001, NIST) is highly desirable.

• Serve as OceanX's in-house expert on agentic AI, including autonomous agents, multi-agent systems, and LLM-powered tools
• Research, evaluate, and recommend technologies and frameworks that support the development and integration of agentic AI systems
• Design and prototype agentic AI systems that can support or extend our operations in science missions, education programming, and creative content generation
• Collaborate with cross-disciplinary teams to identify practical use cases for AI agents, including data analysis, knowledge management, education, logistics, media production, and operational workflow improvements
• Establish responsible development frameworks and guardrails to ensure AI systems are aligned with ethical, legal, and operational standards
• Monitor emerging trends in AI safety, interpretability, and autonomy to keep OceanX at the forefront of the field
• Represent OceanX in AI and technology partnerships, consortiums, and external forums as needed
• Willingness to work flexible hours, including early mornings or late evenings, to support cross-time zone collaboration
• Adaptable to varying workloads, balancing periods of focused execution with lighter operational phases
• Additional duties as assigned

• Professional Experience:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
  • 2+ years of hands-on experience in agentic AI or autonomous systems, within a broader background of AI/ML research, software engineering, or a related technical field
  • Deep understanding of LLMs, reinforcement learning, and related AI paradigms (e.g., AutoGPT, LangChain, or similar frameworks)
  • Demonstrated experience designing or deploying AI agents in production or advanced research settings
  • Strong familiarity with current debates and best practices around AI ethics, safety, and responsible development
  • Ability to translate complex technical concepts into practical applications for non-technical stakeholders
  • Experience working in interdisciplinary environments or mission-driven organizations is a plus
• Personal Attributes:
  • Determined, resourceful and practical. An independent, self-starter, with a "roll up your sleeves" attitude and strong work ethic
  • Agility, with a track record of getting things done
  • Strong project management capabilities
  • Organized, reliable, and meticulous
  • Ability to work and thrive in an entrepreneurial, rapidly evolving environment, with significant ambiguity
  • Ability to prioritize, meet tight deadlines, anticipate needs, and maintain high quality work
  • Strong interpersonal and communication skills (written and verbal)
  • Maintains high standards
  • Highly collaborative
  • General curiosity and passion for the Ocean

• Access to a World Class Exploration Vessel

• 100% company paid medical premiums

• 17 company paid holidays

• Friday summer hours

• Monthly community happy hours

• Hybrid work environment

• 2 One-Month Periods of Remote First Work

• Free catered food services for in-office Thursdays

• Generous PTO offering

• Casual dress code

• 150% 401(k) match up to $7,500 and 100% match above $,500 ( 15k match limit)

• Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

• Permanent opportunity in the AI space with a niche firm.
• Competitive base salary and bonus structure.

• Develop and implement AI solutions to address complex business challenges within the financial services sector.
• Collaborate with cross-functional teams to identify opportunities for AI integration and innovation.
• Lead the design, testing, and deployment of machine learning models and algorithms.
• Ensure AI initiatives align with regulatory standards and company objectives.
• Provide insights and recommendations based on data analysis and predictive modeling.
• Stay updated on industry trends and emerging technologies to maintain a competitive edge.
• Mentor and guide team members to foster professional growth and knowledge sharing.
• Collaborate with stakeholders to define project goals, timelines, and deliverables.

• Experience in technology strategy, innovation, or architecture, with a focus on AI, machine learning, and emerging tech in financial services.
• Strong knowledge of AI ecosystems, including frameworks, cloud ML platforms, open-source tools, and vendor solutions.
• Proven track record in designing, implementing, and integrating AI architectures and evaluating third-party AI products.
• Understanding of regulatory and industry standards (e.g., NIST AI RMF, UK/EU AI Act, ISO) and ability to collaborate across business and tech teams.
• Relevant technical degree and certifications, plus passion for responsible AI and continuous learning.

• Competitive salary.
• Comprehensive benefits package, including 401(k) and health insurance.
• Opportunities to work on innovative AI projects within the financial services industry.
• Supportive work environment with growth and learning opportunities.
• Located in New York, offering access to a vibrant professional network.

Interview : Video

Visa : USC, GC, GC EAD, H4

This is hybrid from day-1

Description :

Position Overview:

Seeking a GenAI Platform Specialist to lead a strategic engagement focused on enabling enterprise-scale GenAI application development. The specialists will directly collaborate with technical teams to build robust GenAI platform capabilities, ensuring readiness at the application layer and maximizing ROI on GPU infrastructure.

The ideal candidate will possess both strategic architectural experience and hands-on implementation skills, with deep expertise in GenAI technologies, platform engineering, and developer enablement.

Required Qualifications:

• 7+ years of experience in enterprise software/platform engineering.
• Proven expertise in GenAI technologies (LLMs, transformers, vector DBs, etc.).
• Strong experience with cloud infrastructure and GPU resource optimization.
• Proficiency in Python and ML/LLM tooling (e.g., LangChain, HuggingFace, PyTorch).
• Deep understanding of MLOps, model evaluation, and compliance in AI.
• Experience building developer tooling and reusable code frameworks.
• Excellent communication skills and ability to work in highly collaborative environments.

• Experience in regulated industries (finance, healthcare, etc.).
• Familiarity with enterprise security and compliance controls for AI.
• Previous consulting or client-facing engineering experience.

Our Company

At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable the largest and most analytically sophisticated organizations in the world operationalize analytics at-scale on the Vantage platform.

The AI Industry Specialist (AIS) is an experienced and expert seller comfortable working across analytics and line of business buying centers to drive continued growth from target customers and prospects. Comfortable with engaging with senior stakeholders they identify, co-lead and co-manage sales motions for opportunities within the focus industry working with the account executives and go-to-market teams. They have quota ownership for expansions and sales opportunities to line of business and analytics buying centers at our top targets.

Industry Focus Areas for AI Industry Specialists include:

• Financial Services

• Customer Experience

• Healthcare

• Government

• Retail/CPG

• Manufacturing/Supply Chain

• Communications/Media/Entertainment

• Telco?

• Achieving expansion targets - in coordination with Account Executives, Customer Success Managers, and Industry Strategists, you will build and manage an expansion opportunity pipeline for ClearScape Analytics with an industry focus, sufficient to achieve current and future targets.

• Account planning & strategy - you will coordinate and execute the sales strategy for your focus industry; from top-down awareness, contacting and engaging analytics and business influencers, through to use cases and associated analytics value propositions.

• Relationship building - developing credibility and establishing relationships based on analytics knowledge, application to real world scenarios, and focusing on generating value for the customer, you will engage personas at appropriate levels - influencers, decision makers and economic buyers.

• Customer consideration & influence - lead discovery & scoping activities that highlight ClearScape value differentiators and lead to strong business case development.

• Sales Opportunity Management - demonstrate strong control of all sales motions including opportunity stage progression from awareness, consideration to close. Managing opportunities using indicators including MEDDPICC scores, sales stages and aging, as appropriate.

• Internal Evangelism - Educate the wider Teradata Go-To-Market population on customer, industry and market trends, successes and key learnings.

• Contribute to Industry Strategy - aligning to industry analytics maturity and common themes that can be leveraged to define an engagement strategy for an account.

• Teradata Point of View & Roadmap - Stay current and influence Teradata AI strategy, roadmap and differentiation.

Who You'll Work With

• Working closely with data scientists, industry strategists and partners the AI Industry Specialist will accelerate the ability to expand and acquire new customers, contribute to industry strategy and play a key role in evolving the capabilities of the GTM organization.

• Account Team: Co-lead with the Account Executive to understand and develop account goals, strategy, objectives, & tactics to target the AI &/or Line of Business Buying Centers.

• Industry Strategy: Works with Industry Strategist to align on key trends, partners, our POV, sample use-case curation and messaging.

• Data Science & Sales Tech: Works with Pre-Sales Data Scientists, Architects and Solution Engineers to understand "as is" and "to be" analytics strategy and landscape.

• Client Services & Partner Sales: Works with Consulting and Partners to deploy post PoC / PoVs and create supporting proposals.

• Customer Success: Works with Customer Success Managers to understand customer usage patterns (via telemetry) and key user communities, drive customer education & adoption of features, and execute the overall account plan.

What Makes You a Qualified Candidate

• Bachelor's or Master's degree in business or analytics related field.

• 8-12 years of experience selling, consulting and/or leveraging software & services specifically in the AI/ML and data analytics space.

• Demonstrated success in developing and managing complex enterprise software sales and/or large account relationships in the focus industry.

• Proven ability to interact effectively with 'C' and VP level executives.

What You'll Bring

• Is driven, innovative, a self-starter and strategic thinker with strong executive presence.

• Can lead, advise, and advocate for customers and is able to build trusted relationships with customers.

• Possesses account management discipline across all sales stages.

• Has previous experience selling statistical, machine learning, text, path, AI, etc. AI &/or GenAI solutions.

• Has awareness and comprehension of the latest AI/ML & GenAI analytics techniques and how they apply to business decisions.

• Possesses excellent presentation, communication, and interpersonal skills.

• Thrives in teamwork environment, is collaborative and recognizes the value of different perspectives.

Pay Rate: $284,100.00 - $55,200.00 - 426,200.00 On-Target Earnings

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

#LI-JR1

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow.

Pay Rate: - - On-Target Earnings

Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance.

Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: