Senior Solutions Architect - Enterprise AI & Generative AI (Locals Only)

• Collaborate with enterprise architects, business stakeholders, and technical teams to define AI and Generative AI solution approaches.
• Conduct discovery sessions to understand business requirements, objectives, challenges, and technical constraints.
• Translate business requirements into scalable solution architectures and technical recommendations.
• Design enterprise AI/GenAI solutions using modern approaches such as RAG, NLP, vector search, enterprise search, prompt orchestration, and agentic AI.
• Evaluate AI platforms, tools, frameworks, and architectural patterns in alignment with enterprise standards.
• Work closely with developers, data scientists, ML engineers, and domain experts to guide solution implementation.
• Assess technical feasibility, solution tradeoffs, dependencies, security, and scalability.
• Develop lightweight prototypes and reference implementations to demonstrate recommended architecture approaches.
• Provide technical guidance to development teams throughout solution planning and implementation.
• Create architecture diagrams, technical documentation, design patterns, and reusable solution guidelines.
• Support the adoption of scalable and reusable AI and data architecture solutions across enterprise business use cases.

The ideal candidate will have strong experience in enterprise solution architecture, AI/GenAI platforms, cloud technologies, and business stakeholder engagement. This role involves understanding business requirements, conducting technical discovery, evaluating solution options, and defining scalable enterprise architecture solutions across hybrid cloud and on-premises environments., * Strong experience designing and implementing Enterprise AI and Generative AI solutions.

• Knowledge of AI architecture concepts, including:
• Retrieval-Augmented Generation (RAG)
• Natural Language Processing (NLP)
• Vector Databases and Vector Search
• Enterprise Search
• Prompt Engineering and Orchestration
• Agentic AI and Multi-Agent Workflows
• Experience with enterprise AI platforms, model integration patterns, and production AI architecture.
• Strong cloud architecture experience with one or more of the following:
• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (Google Cloud Platform)
• Experience with enterprise architecture and modern application integration patterns:
• REST APIs and Microservices
• Containerized Applications
• Cloud-Native Architectures
• Enterprise Identity and Security Integration
• Hybrid Cloud and On-Premises Environments
• Experience conducting technical discovery sessions and translating business requirements into solution architecture.
• Ability to create reference implementations, lightweight prototypes, and technical proofs of concept.
• Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, notebooks, and containerized application patterns.
• Excellent communication, stakeholder management, technical facilitation, and cross-functional collaboration skills.

Preferred Qualifications

Experience with one or more of the following technologies and platforms:

• Azure OpenAI
• Amazon Bedrock
• Google Vertex AI
• AI Refinery
• Microsoft Foundry
• LangChain and LangGraph
• GraphRAG
• Snowflake
• Dataiku
• Agent Skills and Agent Harness Patterns
• MCP Servers (Model Context Protocol)
• Kubernetes, AKS, EKS, or similar container orchestration platforms
• Reusable enterprise AI architecture patterns and solution accelerators, * Bachelor’s degree required.
• 10+ years of relevant professional experience in solution architecture or a similar capacity.
• Any cloud certification is a plus., * Senior-level Enterprise Solutions Architect with strong AI/GenAI architecture experience.
• Strong understanding of business requirements and the ability to convert them into technical solutions.
• Experienced in guiding enterprise development teams and influencing architecture decisions.
• Strong exposure to cloud and hybrid enterprise environments.
• Excellent communication and stakeholder engagement skills.
• Stable employment history with consistent career progression.

• Must be available to work onsite 5 days per week.
• No exceptions to the onsite requirement.
• Candidates should have stable employm