ai governance specialist

Systems Limited

<div>
 
 
 Experience required:
 
 5-8 Years
 
 
 
 Location
 
 : Islamabad
 
 
 
 
 
 Systems Limited is seeking a highly motivated
 
 AI Engineer
 
 to join our team in Islamabad. This role will be responsible for driving the implementation and ongoing management of the
 
 AI Management System (AIMS)
 
 in alignment with
 
 ISO/IEC 42001
 
 , while establishing strong AI governance, risk management, and compliance practices across the organization.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1. ISO/IEC 42001 Implementation &amp; Management
 
 
 <ul>
 <li>
 Lead the implementation and certification of
 
 ISO/IEC 42001 (AI Management System &ndash; AIMS)
 
 .
 </li>
 <li>
 Develop, implement, and maintain the organization&rsquo;s AI Management System.
 </li>
 <li>
 Establish policies, procedures, and documentation aligned with ISO 42001 requirements.
 </li>
 <li>
 Coordinate internal and external audits and act as the primary point of contact for auditors.
 </li>
 <li>
 Track, manage, and close audit findings through effective corrective and preventive actions.
 </li>
 <li>
 Ensure ongoing compliance through regular monitoring, reviews, and continuous improvement initiatives.
 </li>
 </ul>
 
 
 2. AI Governance &amp; Policy Framework
 
 
 <ul>
 <li>
 Design and implement the organization&rsquo;s
 
 AI governance framework
 
 , including policies, standards, and guidelines.
 </li>
 <li>
 Define acceptable and prohibited AI use cases across business functions.
 </li>
 <li>
 Develop AI usage guidelines and best practices for internal teams.
 </li>
 <li>
 Ensure alignment with
 
 data protection, privacy, and information security policies
 
 .
 </li>
 <li>
 Maintain an inventory of AI systems and ensure proper classification and documentation.
 </li>
 </ul>
 
 
 3. AI Risk Management &amp; Impact Assessments
 
 
 <ul>
 <li>
 Conduct and maintain
 
 AI Impact Assessments (AIIA)
 
 for AI systems and use cases.
 </li>
 <li>
 Identify and evaluate risks related to:
 </li>
 <li>
 Bias and fairness
 </li>
 <li>
 Privacy and data protection
 </li>
 <li>
 Security vulnerabilities
 </li>
 <li>
 Model reliability and performance
 </li>
 <li>
 Ethical considerations
 </li>
 <li>
 Maintain AI risk registers and define mitigation strategies.
 </li>
 <li>
 Ensure periodic reassessment of deployed AI systems to maintain compliance and risk control.
 </li>
 </ul>
 
 
 4. AI Tools Governance &amp; Vendor Evaluation
 
 
 <ul>
 <li>
 Evaluate and review new AI tools and technologies prior to adoption.
 </li>
 <li>
 Conduct risk and compliance assessments of
 
 third-party AI vendors and solutions
 
 .
 </li>
 <li>
 Ensure proper due diligence, governance controls, and contractual safeguards are in place.
 </li>
 <li>
 Establish and manage the approval workflow for AI tool adoption.
 </li>
 <li>
 Monitor and address
 
 shadow AI usage
 
 across the organization.
 </li>
 </ul>
 
 
</div>

AI Engineer

PwC Middle East

<div>
 
 Why PwC
 
 
 
 At PwC, your growth is our priority. We fuel potential through coaching, feedback, and challenging work that helps you build a career path as unique as you are. You&rsquo;re not just joining a team&mdash;you&rsquo;re becoming part of a movement that&rsquo;s shaping the future. Here, you can be yourself, work with purpose and boldness, and collaborate with talented people to deliver solutions that create real impact for clients and communities. Powered by inclusive teams, cutting-edge technology, and truly meaningful work, you&rsquo;ll find endless opportunities to grow, lead, and go further.
 
 
 Together, we set the future in motion.
 
 
 
 Consulting LoS
 
 
 
 At PwC Consulting, we lead with insight and deliver with purpose. You&rsquo;ll work alongside experts across industries to design and deliver forward-looking solutions in areas such as strategy and enterprise transformation, operational excellence, digital innovation, cyber resilience, and risk management. Our reimagined operating model brings together sector-aligned, solution-led teams empowered to move fast, think boldly, and create real impact. Whether transforming finance, enabling digital change, or shaping national visions, you&rsquo;ll be part of a collaborative, forward-thinking community&mdash;built to grow with you and the world around us.
 
 
 
 BU Description
 
 
 
 The Digital &amp; Cyber Business Unit brings together deep technology expertise and bold thinking to help organizations thrive in a connected, data-driven world. We support clients in reimagining how they operate, serve, and grow&mdash;by harnessing the power of digital products, emerging tech, cloud, data, and cyber resilience.
 
 
 Whether shaping enterprise-wide transformation or enabling targeted innovation, we work at the intersection of strategy, technology, and trust&mdash;delivering scalable solutions that empower clients to move faster, think smarter, and lead with confidence.
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced and visionary AI Strategy expert to lead engagements that define and deliver impactful artificial intelligence strategies, both at national and enterprise levels. The ideal candidate will possess deep expertise in AI, machine learning, and generative AI (GenAI), along with a strong grasp of business strategy, data ecosystems, and emerging technology governance.
 
 
 
 Role
 
 
 
 This role requires an individual who can bridge the gap between strategic ambition and technological execution. The successful candidate will have the ability to:
 
 
 Formulate national AI visions and strategies, shaping policy, capability building, and innovation ecosystems; and
 
 
 Design enterprise AI operating models and roadmaps, driving adoption across functions and value chains.
 
 
 The role involves working closely with senior executives and public sector leaders to translate AI potential into measurable impact, advising on operating models, governance frameworks, talent strategies, and data and technology foundations required to enable AI at scale.
 
 
 The candidate should have strong interpersonal skills, who not only enjoys the challenge of working with other team members but externally with a diverse set of stakeholders. Recent experience and understanding of the ME business ecosystem and government initiatives is preferred.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 AI Vision and Strategy Development: Lead the design and delivery of AI strategies at national and enterprise levels, defining vision, strategic pillars, enablers, and measurable outcomes aligned with broader transformation goals and wider strategies. National AI Governance and Policy Design: Support governments and regulators in shaping national AI governance frameworks, data-sharing ecosystems, and ethical AI principles that drive innovation, competitiveness, and societal value.
 
 
 Enterprise AI Adoption: Guide large organizations in embedding AI within business operations, functions, and customer interactions. Identify priority use cases, assess readiness, and design scalable AI transformation journeys.
 
 
 AI Operating Model Design: Develop end-to-end AI operating models covering governance, organization design, skills development, infrastructure, data and technology, and vendor ecosystems.
 
 
 Generative AI &amp; Emerging Technologies: Advise clients on the evolving GenAI landscape, including large language models, automation, and advanced analytics. Identify practical, high-impact use cases and evaluate feasibility, governance, and ethical considerations.
 
 
 AI Roadmap &amp; Transformation Planning: Design structured AI roadmaps that translate vision into action, balancing short-term value creation with long-term capability building and sustainable adoption.
 
 
 
 Educational Qualifications &amp; Certifications
 
 
 
 
 Education &amp; Qualifications
 
 
 
 Educational Background: A degree in a relevant field such as Computer Science, Engineering, Information Technology, or related disciplines. Graduates in other fields can apply, provided that they have a proven experience in IT / Digital Consulting practice with relevant certifications
 
 
 Certifications: Certification in AI, ML, GenAI, or Data Science and related fields is highly desirable. Project Management (e.g., PMP), TOGAF, or Responsible AI certifications are an advantage..
 
 
 
 Work Experience
 
 
 
 The candidate should possess post-qualification relevant work experience of at least 7 years of working in a Consulting firm.
 
 
 Digital Proven experience in designing AI strategies, AI operating models, and AI transformation roadmaps for government and enterprise clients.
 
 
 Strong understanding of AI technologies, data ecosystems, and GenAI models, with the ability to assess feasibility and impact.
 
 
 Demonstrated ability to develop and quantify AI business cases and ROI.
</div>

Digital and Cyber - Digital Strategy and Realisation - AI Strategy - Director

McKesson

<div>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.
Role Summary:
The AI Governance Operations Lead ensures that McKesson&rsquo;s Responsible AI framework is executed consistently across the enterprise. This role operationalizes the governance structures defined by the Enterprise AI Council (EAIC) and the Responsible AI Boards (RAIBs), overseeing intake, triage, risk assessment workflows, quality assurance, documentation, and monitoring aligned with enterprise AI governance standards. The position ensures compliant, transparent, and risk ‑aligned‑ AI adoption across business units.
Key Responsibilities:<ul><li>
Manage the Enterprise Intake Process: maintain central intake form and routing process to ensure process reliability</li><li>
Maintain, update, and implement enterprise AI Governance standards, taxonomies, definitions and risk-classification logic as the EAIC continues to develop them.</li><li>
Ensure alignment between AI governance standards and broader enterprise policies</li><li>
Support Appropriate Routing Intake &amp; Quality of Submissions by validating intake submissions for completeness and ensure proper routing.</li><li>
Manage enterprise-level exception requests and coordinate routing for EAIC level escalation</li><li>
Implement EAIC directed process updates; ensure required adjustments to intake logic, workflow, dashboards etc. as directed by the EAIC</li><li>
Ensuring Operational Reliability: identify, diagnose and resolve technical failures to support consistent governance processes</li><li>
Conduct trend analysis on AI use case submissions, risk tiers, model types, vendor maturity and recurring issues</li><li>
Identify systemic risks, gaps or repeated exceptions across RAIBs and escalate them to the EAIC</li><li>
Maintain repository of approved/flagged AI vendors and relevant risk data</li><li>
Support EAIC monitoring function by creating enterprise reports, risk trend summaries, and thematic insights.</li><li>
Maintain dashboards and workflow visibility for RAIB and EAIC leadership, including status updates, approval milestones, and escalations requested by your applicable RAIB</li><li>
Provide enterprise insights, develop and deliver dashboards and materials that provide enterprise level insights to support EAIC, EOT and RAIB monitoring and decision making.</li><li>
Coordinate with RAIB leaders, other RAIB Operations Leads, and subject matter experts to ensure coordination and communication across AI Governance landscape.</li><li>
Develop and maintain training materials, playbooks and guidance for business submitters and RAIB participants as needed.</li><li>
Deliver or coordinate training or office hours to business teams to ensure intake quality and adoption of governance processes</li><li>
Create and update role-based training for RAIB members, SMEs and PMOs</li><li>
Actively participate in the RAIB Operations/Lead community of practice to align processes, develop best practices, and trouble-shoot new and emerging challenges to the AI governance process</li><li>
Partner with Legal, Compliance, Cybersecurity, Procurement, and other stakeholder teams to socialize governance practices and educate employees who utilize your respective RAIB process</li></ul>
Minimum Requirements
Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience.
Critical Skills
<ul><li>Proven experience designing, implementing, and scaling compliance programs for technology organizations</li><li>
Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow.</li><li>
AI/ML Technical Fluency</li><li>
Understanding of AI/ML lifecycle, model validation, monitoring, and documentation.</li><li>
Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc) +Knowledge of model risk management frameworks and risk‑tiering logic.</li><li>
Ability to influence senior stakeholders (VP/EVP level) across business units.</li><li>
Strong change‑leadership skills to drive adoption of governance processes.</li></ul>
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$148,900 - $248,100
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: 
 
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer 
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. 
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.
Join us at McKesson!</div>

RAIB Governance Lead Director

Adobe

What you'll Do
 Partnering with engineering, product, security, and legal teams to build, implement, and scale security controls that mitigate risks arising from AI/ML and agentic systems.
 Establishing and operationalizing an enterprise AI governance framework — including defining policies, translating them into actionable technical control requirements, and ensuring effective implementation across AI systems.
 Defining and coordinating guardrails for AI systems across inputs, outputs, and inter-agent communication (e.g., A2A, MCP etc.), ensuring safety boundaries, content governance, and misuse prevention across orchestration and integration frameworks.
 Crafting and enforcing robust access controls for tools, data sources, and enterprise systems accessible to AI agents, ensuring least-privilege access, secure invocation patterns, auditability, and clear segregation of duties across agent platforms and integration layers.
 Identifying critical control points in autonomous agentic workflows where Human-in-the-Loop (HITL) review is required to mitigate high-risk decisions or actions.
 Developing continuous surveillance methods and controls to ensure alignment with AI governance standards.
 Ensuring alignment with internal policies and external regulatory frameworks (e.g., ISO/IEC 42001, NIST AI RMF, EU AI Act).
 Evaluating threat models across the AI lifecycle to address risks including prompt injection, data poisoning, adversarial attacks, model compromise, etc.
 Developing Key Risk Indicators (KRIs) and metrics to monitor AI security posture and report trends to senior leadership and risk committees.
 Supporting internal audits and regulatory examinations related to AI governance and cybersecurity risk.
 Staying current on emerging AI technologies, agentic architectures, evolving threat landscapes, and industry guidelines.
 
What you need to succeed
 3+ years of hands-on experience in AI governance / Responsible AI, including defining controls, risk assessments, compliance oversight, or assurance of AI/ML systems.
 6+ years of experience in risk management, cybersecurity, compliance, or consulting with experience in client-facing or multi-functional delivery.
 Demonstrated experience translating AI governance requirements into technical security controls and working with engineering teams to implement and scale them.
 Experience performing AI threat modeling across traditional ML and Generative AI systems, including agent-based architectures.
 Familiarity with agentic AI technologies and protocols, including AI agents and autonomous workflows, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication etc.
 Familiarity with AI governance standards and regulatory frameworks such as NIST AI RMF, ISO 42001, EU AI Act, and others.
 Experience with governance, risk, and compliance (GRC) platforms and collaboration with privacy, legal, and security teams.
 Knowledge of access control frameworks for AI systems, particularly regarding tool invocation and agent permissions.
 Bachelor’s degree or equivalent experience in Computer Science, Information Systems, or related field required; advanced degree or equivalent experience preferred.
 Relevant certifications like AIGP, CISSP, CISA, CISM, Security+, ISO 42001 Implementer/Auditor, or an equivalent credential.
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $113,100 -- $228,575 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $157,900 - $228,575
 In New York, the pay range for this position is $157,900 - $228,575
 In Washington, the pay range for this position is $148,600 - $215,200
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

AI Controls Engineer

Analytical Mechanics Associates

<div>
 
 Job Description
 
 
 
 NASA Langley Research Center is seeking high-performing students with demonstrated expertise in Artificial Intelligence and Machine Learning (AI/ML) to join the
 
 AiTHENA
 
 Program&mdash;
 
 Artificial Intelligence Training and Hands-on Experience at NASA
 
 .
 
 
 As an AiTHENA Research Associate, you will work directly alongside NASA scientists, engineers, and civil servants to integrate cutting-edge AI/ML techniques into mission-driven research and federal business operations. This is a unique opportunity to contribute to active projects that support NASA&rsquo;s strategic goals
 
 
 
 Overview
 
 
 
 AiTHENA supports NASA researchers by pairing
 
 high-impact projects
 
 with
 
 AI/ML and data talent
 
 to accelerate mission-relevant tools. We are seeking an
 
 AI/ML Associate / Early Career Professional (ECP)
 
 with interest in
 
 AI governance, risk analysis,
 
 and
 
 applied data support
 
 to help NASA teams build practical, responsible AI capabilities, workflows, and implementation strategies.
 
 
 This position is a good fit for someone who may
 
 not
 
 have deep technical or research experience yet, but can
 
 learn quickly
 
 , follow structured guidance, and communicate clearly. You&rsquo;ll work closely with a NASA mentor to translate needs into clear tasks, build reusable artifacts, and support governance-aligned workflows.
 
 
 Remote and in-person candidates will be considered.
 
 
 Hourly pay range: $23.10 &ndash; $33.50 (depending on locality)
 
 
 
 What You&rsquo;ll Do
 
 
 
 AI Governance Support
 
 
 <ul>
 <li>
 Help teams document and track AI-related work using simple, repeatable processes.
 </li>
 <li>
 Support an AI use-case process by collecting key details (purpose, users, data types, risks, constraints).
 </li>
 <li>
 Create and maintain governance artifacts, such as:
 </li>
 <ul>
 <li>
 model/data &ldquo;factsheets&rdquo; (basic model cards, dataset summaries)
 </li>
 <li>
 decision logs and traceability notes
 </li>
 <li>
 checklists for responsible AI (data handling, evaluation notes, limitations)
 </li>
 </ul>
 <li>
 Assist with risk triage (not legal decisions&mdash;supporting documentation and routing): flagging common considerations like sensitive data, privacy, misuse risk, and monitoring needs.
 </li>
 <li>
 Help organize and communicate governance readiness for demos or reviews (briefs, slide summaries, status dashboards).
 
 </li>
 </ul>
 Applied Data + Prototype Support
 
 
 <ul>
 <li>
 Prepare and organize data: collect, clean, format, and document datasets (CSV/Excel, logs, text, images).
 </li>
 <li>
 Run basic analyses using Python (or similar tools): summaries, charts, simple quality checks.
 </li>
 <li>
 Support AI/ML work by running established workflows, such as:
 </li>
 <ul>
 <li>
 baseline models (classification/regression)
 </li>
 <li>
 simple trend checks for time-series data
 </li>
 <li>
 basic text processing (tagging, search, summarization with guardrails)
 </li>
 </ul>
 <li>
 Create and share prototypes such as notebooks, scripts, simple dashboards, or small utilities that a mentor team can reuse.
 </li>
 <li>
 Keep work reproducible and easy to follow clear file organization, notes, and step-by-step documentation.
 </li>
 <li>
 Participate in AiTHENA check-ins, technical exchanges, demos, and closeout deliverables.
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a related field (Engineering, Math, Science, Computer Science, Information Systems, Policy/Program Management with technical exposure, or similar) or equivalent practical experience.
 </li>
 <li>
 Interest in responsible AI / AI governance and comfort working with structured checklists and documentation.
 </li>
 <li>
 Comfort learning technical tools (you don&rsquo;t need to be an expert).
 </li>
 <li>
 Basic experience with Python or strong willingness to learn quickly.
 </li>
 <li>
 Familiarity with common data formats (CSV/Excel, text files) and attention to detail.
 </li>
 <li>
 Ability to communicate clearly in writing and presentations (notes, short readouts, simple memos).
 </li>
 <li>
 Strong organization and follow-through (track tasks, meet deadlines, ask for help early).
 </li>
 <li>
 Work authorization:
 </li>
 <ul>
 <li>
 In-person: U.S. Citizenship or Permanent Residency required
 </li>
 <li>
 Remote: open to individuals authorized to work in the U.S.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Some exposure (coursework, projects, internships) to one or more of:
 </li>
 <ul>
 <li>
 AI governance concepts (model cards, data documentation, risk assessment basics, evaluation/monitoring ideas)
 </li>
 <li>
 Data cleaning and analysis (pandas, Excel, basic SQL)
 </li>
 <li>
 Simple machine learning with scikit-learn
 </li>
 <li>
 Data visualization (matplotlib/plotly)
 </li>
 <li>
 Working with text data (document tagging, keyword extraction, search)
 </li>
 </ul>
 <li>
 Familiarity with Git (version control) or willingness to learn it.
 </li>
 <li>
 Experience working with process workflows (Jira/ADO/Trello/SharePoint) and building simple trackers/dashboards.
 </li>
 <li>
 Graduate students (MS/PhD), recent graduates, or career transitioners are welcome.
 
 </li>
 </ul>
 
 Location (for in-person roles, depending on project needs)
 
 
 
 Candidates located within reasonable commuting distance of one of the following are preferred for in-person placements:
 
 
 <ul>
 <li>
 NASA Langley Research Center (Hampton, VA)
 </li>
 <li>
 NASA Katherine Johnson IV&amp;V Facility (West Virginia)
 </li>
 <li>
 NASA Ames Research Center (Mountain View, CA)
 </li>
 <li>
 NASA Headquarters (Washington, D.C.)
 
 
 </li>
 </ul>
 Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
 
 
 AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
 
 
 AMA is an Affirmative Action/Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.
</div>

AI/ML Research Associate

AMC Networks

<div>
 
 Job Description
 
 
 
 AMC Networks is home to many of the greatest stories and characters in TV and film and the premier destination for passionate and engaged fan communities around the world.
 
 
 We create and curate celebrated series and films across distinct brands and make them available to audiences everywhere. Our portfolio includes targeted streaming services AMC+, Acorn TV, Shudder, Sundance Now, ALLBLK and HIDIVE; cable networks AMC, BBC AMERICA, Independent Film Company, Sundance TV and We TV; and film distribution labels Independent Film Company and RLJE Films. The company also operates AMC Studios, our in-house studio, production, and distribution operation behind acclaimed and fan-favorite originals including The Walking Dead Universe and the Anne Rice Immortal Universe, and AMC Networks International, our international programming business.
 
 
 We are currently seeking a
 
 AI Specialist
 
 to join our
 
 Technology Services
 
 , based in our
 
 Bethpage, NY office
 
 .
 
 
 
 Job Responsibilities
 
 
 
 
 AI Strategy &amp; Governance
 
 
 
 <ul>
 <li>
 Develop and execute a cohesive AI strategy for the Enterprise Systems team that aligns with broader business objectives and evolving governance standards, ensuring AI initiatives deliver tangible business value while complying with organizational policies and regulatory requirements
 </li>
 <li>
 Serve as a member of our AI Governance/Review Board, contributing thought leadership in the evaluation and approval of new AI use cases and vendor solutions to ensure they meet our security, compliance, and ethical standards
 </li>
 <li>
 Evaluate and review proposed AI use cases and ideas submitted by business units or innovation teams, offering expert guidance to shape these ideas into viable projects.
 </li>
 <li>
 Conduct in-depth technical reviews and proof-of-concepts for new AI solutions to assess their feasibility, performance, and scalability in our context.
 </li>
 <li>
 Assess risks and establish mitigation plans for each AI use case, including analyzing potential model biases, data privacy implications, security vulnerabilities, and compliance with data governance standards.
 </li>
 <li>
 Leverage tools like Microsoft Purview &amp; Agent 365 for data governance to ensure that AI systems handle sensitive data in accordance with company policies and regulatory requirements.
 </li>
 <li>
 Collaborate with our Legal, Compliance, Cybersecurity, and Data Privacy teams to implement Responsible AI practices, including human oversight mechanisms, auditing of AI decisions, and adherence to our Generative AI
 
 
 
 </li>
 </ul>
 
 AI Solution Development
 
 
 
 <ul>
 <li>
 Design, prototype, and implement AI solutions and &ldquo;agentic&rdquo; workflows that automate and enhance enterprise business processes. Leverage generative AI platforms and tools, including AWS Bedrock and Azure AI Foundry.
 </li>
 <li>
 Integrate Microsoft 365 Copilot and other AI assistants into our workflows to improve employee productivity and decision-making.
 </li>
 <li>
 Build and maintain AI agents or autonomous workflows that can carry out tasks across systems with minimal human intervention, improving operational efficiency and freeing up teams for higher-value work.
 </li>
 <li>
 Work closely with enterprise architects and IT engineering teams to deploy AI solutions into our existing infrastructure and tools (e.g. integrating AI capabilities with Microsoft 365, ServiceNow, data platforms, etc.), ensuring scalability, security, and performance in production environments
 
 
 
 </li>
 </ul>
 
 QUALIFICATIONS (Required &amp; Preferred)
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Data Science, Statistics, or a related field
 </li>
 <li>
 AI/ML Experience: 3+ years of hands-on experience in artificial intelligence, machine learning, or data science roles, including developing and deploying ML models or AI solutions in an enterprise environment
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 Technical Skills: Expertise with generative AI platforms and cloud AI services, especially Amazon AWS Bedrock and Microsoft Azure AI (Foundry), as well as experience using large language model (LLM) technologies and related frameworks
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 Proficiency with Microsoft 365 Copilot and integrating AI assistants or chatbots into business processes
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 Solid understanding of Microsoft Purview or similar data governance/ compliance tools, with the ability to enforce data protection and AI governance policies in solutions
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 Strong programming and ML skills and familiarity with tools for model deployment and monitoring
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 Excellent analytical and problem-solving skills with a risk-aware mindset capable of assessing technical and ethical risks in AI systems and implementing controls to mitigate them
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 Outstanding communication skills with the ability to translate complex AI concepts into business-friendly language
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 Experience working on cross-functional teams and collaborating with diverse stakeholders to drive projects forward
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 Proven ability to function as a subject matter expert or advisor, providing guidance and training to team members and decision-makers on AI best practices and responsible use of AI technologies
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 Familiarity with Adobe Firefly, Runway, or other diffusion models for creating or editing images and video
 
 
 
 </li>
 </ul>
 The base compensation range for this position is
 
 $110,000 - $120,000
 
 commensurate with experience. AMC Networks additionally offers a comprehensive benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Paid Time Off, Paid Parental Leave and Adoption Services, among other benefit plan options, subject to eligibility requirements. AMC Networks values the benefits achieved through in-office collaboration, but we provide our employees with the flexibility to work from home one day per week.
 
 
 
 The Company is committed to policy of nondiscrimination in its employment and personnel practices. Applicants are considered for all employment without regard to race, color, religious creed, religion, alienage, citizenship, gender, gender identity, national origin, ancestry, genetic predisposition or carrier status, age, marital status, familial status, military or veteran status, status as a victim of domestic violence, stalking or sexual assault, sexual orientation, disability or any other characteristic protected by federal, state or local law.
 
</div>

AI Specialist

Interact Technology Solutions

<div>
 
 Job Summary
 
 
 
 The Vendor Management Specialist &ndash; AI &amp; Compute Solutions is responsible for managing strategic relationships with AI, cloud, and compute technology vendors. The role ensures alignment between vendor capabilities, commercial terms, product strategy, and business objectives. It focuses on vendor performance management, commercial negotiations, service alignment, and enabling internal teams with the right vendor-driven solutions to meet market demand.
 
 
 <ul>
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 Accountability &amp; Responsibilities:
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 Own and manage relationships with AI, cloud, and compute technology vendors
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 Act as the primary commercial and operational interface between the company and vendors
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 Negotiate pricing models, commercial agreements, SLAs, and partnership terms
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 Ensure competitive and scalable vendor pricing structures aligned with business margins
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 Monitor vendor performance against agreed KPIs, SLAs, and contractual obligations
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 Coordinate vendor onboarding, enablement, and certification programs
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 Collaborate with Product, Engineering, and Sales teams to align vendor capabilities with market needs
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 Evaluate and select new vendors based on strategic fit, technology roadmap, and financial impact
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 Support pricing strategies by aligning vendor cost structures with service pricing models
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 Drive joint business planning with vendors to ensure growth and partnership expansion
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 Manage vendor-driven product updates, lifecycle changes, and roadmap alignment
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 Identify risks related to vendor dependency and develop mitigation strategies
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 Ensure compliance with contractual, financial, and operational governance standards
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 Support go-to-market initiatives in coordination with vendors and internal stakeholders
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 Analyze vendor financial performance, rebate programs, and incentive structures
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 Track partnership profitability and contribution margins
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 Drive continuous optimization of vendor portfolio to enhance competitiveness
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 <li>
 Requirements:
 
 
 </li>
 </ul>
 
 1 &ndash; Required Experience
 
 
 
 <ul>
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 4&ndash;7 years of experience in Vendor Management, Technology Partnerships, or Product Commercial Management
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 Strong exposure to AI Stack, cloud, or compute infrastructure solutions
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 Experience negotiating commercial agreements and pricing structures
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 Experience working with cross-functional teams (Engineering, Sales, Finance)
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 Strong stakeholder management, negotiation, and analytical skills.
 
 
 </li>
 </ul>
 
 2 &ndash; Technical Skills
 
 
 
 <ul>
 <li>
 Strong understanding of AI/ML Concepts, platforms and computing workloads
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 Knowledge of on-premise Deployments requirements/environments
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 Understanding of GPU/CPU infrastructure and AI compute environments
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 Familiarity with AI ecosystems such as TensorFlow, PyTorch, OpenAI, and NVIDIA AI stack
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 Knowledge of cloud pricing models and consumption-based billing
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 Ability to evaluate vendor technical capabilities from both business and technical perspectives
 </li>
 <li>
 Understanding of SLAs, service governance, and vendor performance frameworks
 
 
 </li>
 </ul>
 
 3 &ndash; Certifications (Preferred)
 
 
 
 <ul>
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 Cloud certifications (AWS, Azure, or GCP)
 </li>
 <li>
 Vendor or partnership management certifications
 </li>
 <li>
 AI or Data-related certifications
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 Commercial or contract negotiation training (advantage)
 </li>
 </ul>
</div>

AI Vendor & Partnerships Manager

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