AI Architect

Must Have Technical/Functional Skills

• 12+ years of technology architecture experience with 4+ years in AI/ML, GenAI, LLM and enterprise solution architecture.
• Hands-on experience designing and implementing Anthropic Claude based solutions, preferably through Amazon Bedrock, including prompt engineering, tool/function calling, agent orchestration and evaluation.
• Strong AWS architecture experience across Bedrock, Lambda, API Gateway, ECS/EKS, Step Functions, S3, IAM, KMS, VPC, CloudWatch, CloudTrail and CI/CD pipelines.
• Experience building agentic AI patterns including planning, tool use, memory, guardrails, approvals, HITL workflows, exception management and observability.
• Proven experience with RAG architecture, vector databases/semantic search, embeddings, knowledge ingestion, document processing and enterprise data integration.
• Good understanding of AI governance, security, privacy, model risk, responsible AI, data leakage controls and auditability in regulated financial services environments.
• Functional exposure to Asset Management / Investment Operations / Distribution / Client Reporting / Middle Office processes is strongly preferred.
• Ability to integrate AI solutions with in-house platforms, APIs, workflow tools, data platforms and enterprise identity/access management capabilities.

Roles & Responsibilities

• Lead end-to-end architecture, design and implementation of Claude based Agentic AI solutions on AWS cloud and enterprise internal platforms.
• Partner with business, domain SMEs, security, cloud, data and engineering teams to translate use cases into scalable technical architectures and delivery roadmaps.
• Define reference architecture, solution patterns, NFRs, integration approach, guardrails, DevSecOps model, deployment strategy and operating model.
• Design agent workflows, prompt/tool frameworks, RAG pipelines, orchestration layers, human review checkpoints and exception handling patterns.
• Drive PoCs/MVPs through production readiness including performance, reliability, cost optimization, monitoring, testing and AI evaluation frameworks.
• Ensure compliance with enterprise security, privacy, model governance, audit, IAM, encryption, logging and data residency requirements.
• Provide technical leadership to onsite/offshore engineering teams, conduct design reviews, resolve blockers and ensure engineering quality.
• Create architecture artifacts, executive walkthroughs, design documents, backlog epics/stories, estimation inputs and implementation plans.

Generic Managerial Skills, If any

• Strong stakeholder management and executive communication skills with ability to simplify complex AI architecture for business and technology audiences.
• Ability to lead cross-functional teams across business, cloud, data, security, architecture and delivery functions.
• Experience managing ambiguity, prioritizing use cases, defining MVP scope and driving outcomes in a fast-paced client environment.
• Strong estimation, planning, risk management, dependency management and issue resolution skills.
• Ability to mentor engineers, establish best practices and drive adoption of reusable AI engineering patterns.
• Excellent written communication, presentation, documentation and governance reporting skills.

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $140,000 - 160,000 a year