Generative Ai Testing Jobs in Massachusetts (NOW HIRING)

We are seeking an AI Solution Architect, Vice President to serve as a senior technology leader responsible for shaping and driving the AI strategy for our Internal Audit function. In this role, you will provide architectural leadership to design, build, and operate productiongrade AI systems that deliver conversational, predictive, and generative capabilities at enterprise scale

This is a handson architectural leadership role requiring deep expertise in Generative AI, large language models (LLMs), retrievalaugmented generation (RAG), AI orchestration frameworks, and enterprise integration patterns. You will partner closely with Internal Audit SMEs, data engineering, security, and infrastructure teams to ensure AI solutions are explainable, secure, compliant, and operationally resilient, while materially improving audit quality, productivity, and insight generation.

AI Architecture & Platform Strategy

• Lead the endtoend architecture for AIenabled platforms supporting Internal Audit, integrating LLMs, machine learning models, enterprise data platforms, and core systems
• Define scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics, and continuous auditing use cases
• Act as the technical authority for AI architecture within Internal Audit Technology, setting standards and guiding architectural decisions across initiatives

AI Engineering & Orchestration

• Lead the design and implementation of AI orchestration frameworks to enable scalable, multistep reasoning and agentbased workflows
• Architect solutions using frameworks such as LangChain (or equivalent) and cloudnative capabilities (e.g., managed AI/agent services)
• Design workflows incorporating:
  • Retrievalaugmented generation (RAG) across structured and unstructured data
  • Guardrails, validation layers, and hallucinationmitigation techniques
• Define and own model selection, evaluation, and benchmarking frameworks, balancing performance, cost, latency, explainability, and risk

Build & Production Operations

• Lead delivery of productionready AI systems, including model deployment, APIs, orchestration pipelines, and enterprise integrations
• Establish and mature LLMOps / MLOps practices, including versioning, monitoring, evaluation, logging, rollback strategies, and cost controls
• Ensure platforms meet enterprise standards for availability, scalability, performance, resilience, and reliability

Governance, Risk & Controls

• Embed AI governance and model risk management into system design
• Implement safeguards for data privacy, security, bias detection, explainability, and auditability
• Partner with Internal Audit, Risk, Compliance, and Legal teams to align solutions with regulatory and internal policy requirements

Use Case Enablement & Innovation

• Translate audit and risk challenges into highimpact AI use cases (e.g., control testing automation, issue identification, narrative generation, continuous auditing)
• Guide experimentation and proofofconcepts while ensuring a clear path to production
• Stay current on emerging AI technologies and recommend pragmatic adoption strategies

The skills that will help you succeed in this role include:

• Endtoend AI architecture and solution design for enterprise, productiongrade systems
• Handson expertise with Generative AI, including LLMs, prompt engineering, embeddings, RAG, and agentbased workflows
• AI orchestration and workflow design skills for multistep reasoning, validation, and automation
• Strong engineering and operational skills to deliver scalable, reliable platforms with robust LLMOps/MLOps practices
• Responsible AI and governance skills, including model risk management, security, privacy, explainability, and auditability
• Data engineering and integration skills, leveraging enterprise data platforms, APIs, and distributed systems
• Analytical problemsolving skills to translate audit and risk challenges into highimpact AI use cases
• Stakeholder partnership and influence skills across audit, risk, security, and technology teams
• Clear technical communication and mentoring skills for technical and nontechnical audiences
• Continuous learning mindset to stay current with evolving AI technologies and best practices

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
• 10+ years of experience designing and delivering enterprise software or data platforms, with 3+ years focused on AI / ML solutions
• Handson experience with large language models and modern AI frameworks (prompt engineering, embeddings, RAG, agents)
• Strong background in cloud platforms (Azure or AWS) and microservicesbased architectures
• Experience operationalizing AI systems with MLOps / LLMOps tooling and practices
• Solid understanding of data engineering, APIs, and distributed systems
• Proven ability to design systems with security, privacy, and regulatory considerations

Nice to Have

• Experience supporting Internal Audit, Legal, or Risk Corporate functions
• Familiarity with model risk management or AI governance frameworks
• Experience with vector databases, semantic search, or enterprise data catalogs
• Exposure to process mining, control testing automation, or continuous auditing
• Cloud or AI/ML certifications

Salary Range:

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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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.