Senior AI Solutions Architect

Job Title: Senior AI Solutions Architect
Location: Remote
Job Type: Contract
Visa: H1B,GC,USC
Job Summary
We are seeking a highly experienced Senior AI Solutions Architect who combines enterprise architecture, strategic consulting, and hands-on Generative AI development. The ideal candidate will partner with senior business and technology leaders to identify high-value AI opportunities, evaluate them based on business impact, cost, feasibility, and risk, and translate them into secure, scalable, enterprise-grade Azure solutions.
This role is approximately 60% advisory/architecture and 40% hands-on development. The candidate must be comfortable leading executive-level discovery workshops and presenting business cases while also building functional prototypes using AI agents, RAG, LLMs, MCP, and multi-agent architectures.
Key Responsibilities
Lead AI discovery and strategy workshops with senior business and technology stakeholders.
Identify, assess, and prioritize AI use cases based on business value, feasibility, cost, risk, and scalability.
Design secure, scalable, and production-ready AI solutions on Microsoft Azure.
Develop hands-on GenAI prototypes using LLMs, AI agents, RAG, MCP, and multi-agent workflows.
Translate business requirements into enterprise AI architecture and technical solutions.
Develop business cases and communicate AI solution strategies to executive stakeholders.
Guide solutions through ideation, prototype, pilot, and production stages.
Evaluate emerging AI technologies and determine their applicability to enterprise use cases.
Collaborate with engineering, data, security, architecture, and business teams to ensure successful AI adoption.
Apply enterprise architecture, security, governance, and responsible AI principles to GenAI solutions.
Required Skills
10+ years of experience in enterprise architecture, solutions architecture, technology consulting, or a related field.
Strong hands-on experience designing Azure-based enterprise solutions.
Practical experience implementing Generative AI / LLM solutions.
Strong experience with AI agents, RAG, LLMs, MCP, and multi-agent architectures.
Experience with Azure AI Foundry.
Hands-on experience with Claude / Anthropic technologies.
Experience with Claude Agent SDK and/or Claude Code.
Strong understanding of enterprise AI architecture, security, scalability, and governance.
Experience leading business/technical discovery workshops with senior stakeholders.
Ability to translate business problems into practical AI solution architectures.
Strong communication, presentation, consulting, and stakeholder-management skills.
Preferred Skills
Banking or Financial Services domain experience.
Experience with Power Platform and Copilot Studio.
Experience with Snowflake and Cortex Search.
Experience designing enterprise search and RAG solutions.
Experience taking GenAI solutions from prototype through pilot and production.
Knowledge of responsible AI, AI governance, security, and enterprise architecture frameworks.
Ideal Candidate Profile
The ideal candidate is a hands-on AI architect and consultant who can bridge business strategy and technical implementation. They should be equally comfortable discussing AI strategy with executives and writing code to build a working GenAI prototype.
This is not a pure Project Manager, Data Scientist, Power Platform Developer, or Infrastructure Architect role. We are specifically looking for an architect who can connect business challenges to enterprise-grade AI solutions and drive them from discovery architecture prototype pilot production.
Primary Technology Stack
Azure AI Foundry
Claude / Anthropic
Claude Agent SDK
Claude Code
MCP (Model Context Protocol)
LLMs
RAG
AI Agents
Multi-Agent Workflows
Microsoft Power Platform
Copilot Studio
Snowflake
Cortex Search
Azure Cloud Architecture

Work arrangement
Yes