Solutions Architect

Experience : 15+ years (with 5+ years in AI / ML / GenAI architecture)

Role Type : Individual Contributor | Full-time

AI & Data – GenAI Solutioning & Architecture(Senior Director Team)

Key Responsibilities

Architect and deliver GenAI, LLM, and Agentic AI solutions leveraging frameworks like LangChain, LlamaIndex, AutoGen, or CrewAI.

Design enterprise-grade AI architectures on Azure (preferred) or other hyperscalers (GCP, AWS).

Lead solutioning and proposal development for RFPs / RFIs — including estimations, solution decks, and architecture presentations.

Partner with clients as a trusted AI advisor, shaping their AI adoption roadmaps and transformation journeys.

Build reusable reference architectures, accelerators, and GenAI frameworks for scalable deployments.

Integrate data engineering pipelines and ensure robust MLOps / LLMOps governance.

Collaborate with cross-functional teams — data engineers, architects, and business leaders — to enable full-lifecycle AI delivery.

Stay current with emerging GenAI tools, frameworks, and enterprise AI governance best practices.

Required Skills & Qualifications

15+ years total IT experience; 5+ years in AI / ML / GenAI solution architecture.

Hands-on proficiency in Python, LangChain, LlamaIndex, or similar frameworks.

Strong experience with Azure AI stack – Azure OpenAI, Cognitive Search, AI Studio, Cognitive Services.

Deep understanding of GenAI design patterns, Agentic AI frameworks, and Copilot architectures.

Proven background in MLOps / LLMOps, including model lifecycle, deployment, and CI / CD.

Experience with Databricks, Snowflake, or Palantir platforms is a plus.

Demonstrated ability to handle client-facing solutioning, pre-sales, and technical proposal creation.

Azure / GCP / AWS AI certifications preferred.

Exposure to regulated industries (BFSI, Healthcare, Manufacturing, Public Sector) is an advantage.

Soft Skills

Strong solution storytelling and stakeholder management abilities.

Excellent communication and presentation skills for CXO-level discussions.

Proactive, self-driven, and able to work independently in fast-paced global environments.