AI Solutions Lead / AI (Associate) Architect

About the Role

We are seeking an AI Solutions Lead to architect, govern, and grow our AI delivery practice across GenAI, Agentic AI, and applied ML engagements. This hands-on, hybrid role involves shaping technical direction, owning solution architectures, and elevating the AI capability across multiple delivery pods. What You'll Do

• Translate business problems from clients into staged, defensible AI solution roadmaps, collaborating with business leaders through pre-sales and project delivery cycles.

• Lead solutioning and architecture for end-to-end AI solutions across GenAI, Agentic AI, multimodal, and applied ML use cases; perform explicit trade-off analysis on model class, retrieval design, memory, and orchestration.

• Own the practice's reference architectures and solution design patterns for multimodal agentic systems (planning, tool use, memory, inter-agent communication - MCP, A2A).

• Conduct solution design reviews across concurrent client engagements; facilitate technical decisions and enable delivery excellence.

• Multimodal Agentic Systems & SLM Design: design/build multi-agent systems with reasoning, planning, tool use, persistent memory, and grounded retrieval; guide design across text, vision, speech, and structured data; establish SLM design patterns (distillation, fine-tuning, quantization, routing) for enterprise constraints; define hybrid retrieval and knowledge architectures (vector, graph, NoSQL) and lead KG-assisted retrieval.

• Eval, Guardrails & Production Quality: establish evaluation frameworks, golden datasets, regression suites, and observability; define safety, guardrails, and hallucination-control standards; lead red-teaming for high-stakes deployments; ensure production readiness (reliability, latency, cost, monitoring, drift detection, incident response); drive deployment best practices across cloud, on-prem, and edge, including GPU ops and lifecycle automation.

• Practice Building & Technical Mentorship: shape capability roadmap, mentor AI Engineers, run technical reviews, and promote AI in SDLC frameworks on delivery projects; set technical hiring bar and lead architecture interviews.

• Cross-functional Leadership & Delivery: partner with engineering, data science, product, and DX leadership; engage with client leadership on architecture, feasibility, and risk; support pre-sales and solutioning for GenAI/Agentic AI opportunities with estimation and storytelling. What We're Looking For

• Required Technical Skills: Python (advanced), SQL; strong API/backend engineering in FastAPI/Flask/Django; production-grade software practices.

• Generative AI: LLMs/SLMs, RAG/Agentic RAG, multimodal architectures, agents, prompt engineering, grounding, knowledge graphs, fine-tuning (SFT, LoRA/QLoRA, RLHF/RLAIF), distillation, quantization.

• Agentic AI: Multi-agent orchestration, planning, tool use, persistent memory; MCP and A2A patterns; frameworks such as LangGraph, LlamaIndex, AutoGen.

• Eval & Safety: eval framework design, golden datasets, automated/human evals, red-teaming, guardrails, hallucination control, observability for AI systems.

• ML & DL: predictive modeling, deep learning (CNNs, RNNs/LSTMs, Transformers), embeddings, vector search, classical ML; CV, NLP, and time-series exposure.

• Cloud, MLOps & Deployment: AWS, Azure, or GCP; model serving, GPU ops, CI/CD, monitoring; on-prem and edge deployment patterns.

• Data Engineering: Kafka, Spark/Flink, Hadoop, MongoDB and other NoSQL/graph/vector stores; large-scale streaming and batch pipelines.

• Math Foundations: Linear algebra, probability, statistics, optimization.

• Experience with commerce cloud ecosystems (Salesforce and Adobe) – good to have.

• Experience Requirements: 10–12 years hands-on building and deploying ML/DL/AI systems with progression into solution architecture and technical leadership; 10+ years working with global businesses on large accounts; 3+ years hands-on work in GenAI and Agentic AI. Nice to Have

• Commerce cloud experience (Salesforce, Adobe) is highlighted as desirable. Compensation & Benefits

• Salary range not disclosed. Benefits not disclosed.