Lead independent validation and challenge of AI/ML and generative AI models across Vanguard’s enterprise, ensuring sound governance and risk compliance.
Responsibilities
Assess models and systems using generative AI throughout their lifecycle
Provide effective challenge of model assumptions, methodologies, data, testing, implementation, monitoring and limitations
Assess compliance with internal AI standards and regulatory requirements
Ensure timely execution of model validation and high‑quality reports
Develop, maintain and enhance validation procedures
Requirements
PhD in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering or equivalent
Define how Unity understands and moderates content flowing through its ad network, building multimodal representation strategies and infrastructure to support safety and relevance at scale.
Compensation
Base Salary Range: ¥831,400 - ¥1,247,000 CNY gross
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions).
Responsibilities
Define multimodal content representation strategy across video, image, playable, audio, and text
Partner with product, engineering, and science teams to translate regulatory and contractual obligations into measurable objectives
Define evaluation and labeling infrastructure for scarce, noisy, and contested labels
Build shared foundations such as content embeddings, game level features, evaluation harnesses, and labeling pipelines
Lead architectural direction across teams, raise design and review bar, and mentor senior and mid-level engineers
Requirements
Nice to have: regulatory and policy regimes affecting advertising content
AI Engineer at Thoughtworks applying deep knowledge of AI engineering, foundation models, context engineering, retrieval architectures, agentic systems and LLMOps to design, build and operationalize enterprise AI solutions.
Locations (4)
Bangalore, India
Chennai, Tamil Nadu, India
Hyderabad, Telangana, India
Pune, Maharashtra, India
Responsibilities
Collaborate with stakeholders to understand strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning
Responsible for overall AI system design, problem framing and governance, identifying and managing risks and issues
Senior technical leadership role within the Enterprise AI team, focused on setting standards for AI-native development and owning delivery outcomes for strategic business units.
Lead the Forward Deployed Engineering function within Enterprise AI, proving AI ideas through PoCs, PoVs, and MVPs before handing them off for scale. This is a hands-on leadership role requiring technical depth in AI-augmented engineering.
Responsibilities
Lead the Forward Deployed Engineering function, owning strategy, structure, hiring, development, and standards.
Hire, mentor, and develop the FDE team, creating development paths from G8 through to G5.
Set the standards for AI-native engineering practice (agentic delivery-automation workflows, delivery bot meshes, prompt and pattern libraries).
Set the bar for AI, ML, and data science rigor across the function, including evaluation standards and model validation.
Own relationships with Director and Senior Director-level business unit sponsors.
Requirements
Bachelor's degree in computer science
Software Engineering
Nice to have: Prior leadership experience at an AI-native company (Anthropic, Palantir, OpenAI)
Nice to have: Master's degree in computer science or a related field
Nice to have: Experience in regulated industries (pharma, healthcare, financial services)
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data for drug discovery and development.
Compensation
The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Develop Frontier AI Methods for Biomedical Research: Create, adapt, and improve foundation models, multimodal and graph-based approaches, generative methods, and agentic reasoning systems.
Design and Execute Rigorous Experiments: Form clear hypotheses and design controlled, reproducible experiments.
Set the Evaluation Standard At Scale: Design the datasets, benchmarks, and validation strategies that show whether a model can be trusted.
Translate models into scientific evidence: Work with AI engineers, computational biologists, and domain experts to test hypotheses and interpret results, uncertainty, and limitations.
Build the shared foundation: Develop reusable methods, benchmarks, model components, and workflows, and work with engineering to run them on common infrastructure.
Requirements
PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology, or a related quantitative field
Master's degree
Nice to have: 5+ years of relevant relevant industry or research experience
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Develop frontier AI methods for biomedical research
Design and execute rigorous experiments
Set the evaluation standard at scale
Translate models into scientific evidence
Build shared foundation
Requirements
PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology or related quantitative field
Master's degree with 2+ years of relevant industry or research experience
Nice to have: Experience applying AI in life sciences, biotechnology, healthcare, pharmaceuticals, or biomedical research
Nice to have: Experience with biological, molecular, imaging, clinical, or real-world health data
Nice to have: Experience building foundation models or multimodal learning systems for scientific applications
Define and own enterprise-level development standards for AI solutions across GSK — reference architectures, agentic delivery-automation workflows, delivery bot meshes, evaluation frameworks, and handoff hygiene.
Set the enterprise technical direction for AI-native engineering, establishing how agentic workflows and delivery bot meshes are designed, secured, monitored, and reused at scale.
Own the enterprise pattern library and reference platform, ensuring reusable agents, prompt templates, MCP integrations, and reference architectures.
Chair FDE technical design review and contribute to Enterprise AI architecture governance.
Own FDE delivery for a defined portfolio of strategic business units — engagement pipeline, prioritization, quality, and outcomes from intake to clean handoff.
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400 Bay Area California offices – $189,400 to $393,200 All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead large scale engagements and deliver high-quality client services
Manage and lead client engagement teams
Generate new business opportunities
Shape and lead AI-enabled transformation programs
Advise senior client stakeholders on AI operating models and governance
Requirements
Bachelor's degree in Business, Computer Science, Engineering, Information Systems Management, Finance, or a related field
Nice to have: Post-graduate degree in Computer Science, Engineering, Information Systems Management, Finance or a related field
Nice to have: Program and/or Project Management certifications (PgMP, PMP, Agile)
Nice to have: AI, cloud, data, architecture, machine learning or responsible AI certifications
Senior AI EngineerNewReferrals Only · Bangalore, India+3 more
FSO - Banking - Technology Consulting - Senior Manager - Location OPENEY · Arlington, US+6 more