Lead AI Architect

Lead AI Architect

Owings Mills, MD | 15 - 20 years of experience

Duration: Full Time

Job Description

Must Have Technical/Functional Skills

15+ years of enterprise architecture, solution architecture and cloud architecture experience, with 5+ years leading AI/ML, GenAI or enterprise platform architecture programs.

Proven ability to lead architecture discussions, technology decisions and design governance for Anthropic Claude based Agentic AI solutions, preferably on Amazon Bedrock.

Deep understanding of AI architecture patterns including agent orchestration, multi-agent systems, RAG, vector databases, tool/function calling, MCP, guardrails, HITL and LLM evaluation.

Strong AWS architecture knowledge across Bedrock, Lambda, API Gateway, Step Functions, ECS/EKS, S3, IAM, KMS, VPC, CloudWatch, CloudTrail, CI/CD and DevSecOps.

Experience defining enterprise AI reference architectures, reusable patterns, architecture governance, NFRs, decision records, and target-state roadmaps.

Strong understanding of AI governance, Responsible AI, model risk, security, privacy, data governance, auditability and compliance requirements in financial services.

Ability to guide AI Architects, FDEs and engineering teams on design, scalability, resiliency, integration, observability, performance and cost optimization.

Experience integrating AI platforms with enterprise applications, APIs, workflow systems, identity/access management, data platforms and in-house capabilities.

Working knowledge of Asset Management, Investment Operations, Distribution, Client Reporting and Middle Office processes is preferred.

Roles & Responsibilities

Own overall technical architecture direction and decision-making for Claude based Agentic AI implementation across the enterprise program.

Lead architectural discussions with business stakeholders, enterprise architects, security, data, cloud, platform and engineering teams.

Define target-state architecture, reference patterns, integration approach, guardrails, NFRs, deployment model and operating model for enterprise AI solutions.

Chair design reviews and architecture governance forums; drive architecture decisions, trade-off analysis, risk mitigation and solution approvals.

Complement AI Architects by providing enterprise-level architecture guardrails, cross-workstream alignment, technical governance and escalation support.

Guide architecture teams and technical teams on implementation approaches, reusable components, coding standards, testing strategy and production readiness.

Partner with domain architects and business teams to ensure AI solution designs align with business value, operating model needs and adoption priorities.

Oversee architecture for agent workflows, RAG pipelines, knowledge ingestion, tool/API integrations, observability, LLMOps, security and AI FinOps.

Ensure solutions meet enterprise standards for security, IAM, encryption, privacy, audit logging, model governance, data controls and regulatory compliance.

Provide executive architecture updates, decision logs, technical roadmaps, delivery risks and recommendations to senior stakeholders.

Generic Managerial Skills, If any

Strong executive stakeholder management and ability to influence architecture decisions across business, technology and risk stakeholders.

Experience leading architects, senior engineers and cross-functional technical teams in complex transformation programs.

Strong strategic thinking, technical judgment, risk management and dependency management skills.

Ability to mentor AI Architects and engineering leads while maintaining delivery discipline and architecture consistency.

Excellent communication, presentation, documentation and governance reporting skills for senior leadership audiences.