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