AI Architect

Job Title: AI Architect
Duration- Fulltime Permanent
Location: Owing mills, MD (Onsite From Day 1)

Job Description:
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.


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.