Senior Solution Architect & Functional Arch

Guide technical teams of data scientists, ML engineers, and software engineers in building, fine-tuning, and deploying LLMs and multimodal AI models for AP use cases.

Architect scalable, secure AI pipelines on cloud platforms; drive adoption of deep learning frameworks (PyTorch, TensorFlow) and LLM orchestration stacks (LangChain, LlamaIndex, LangGraph).

Stay current on advancements in Generative AI, agentic systems, NLP, and ML engineering; translate emerging trends into product features and competitive differentiation.

Drive engineering excellence: code quality standards, MLOps practices, model versioning, and production monitoring across AP AI models.

Interact directly with client CTO, CPO, and Finance technology leaders to understand AP pain points, showcase EXL's AI capabilities, and co-create transformation roadmaps.

Lead client solutioning during first engagements: define scope, architect proof-of-concepts, and present AI use cases to both technical and business audiences.

Author and contribute to EXL customer-facing publications: whitepapers, workshops, demo environments, and proof-of-concept accelerators for AP AI.

Represent EXL at industry forums, analyst briefings (Gartner, Forrester), and RFP/RFI responses as the Finance AI product SME.

Build deep relationships with senior technical stakeholders at client organizations, enabling them to become AI advocates internally.

Define and maintain a prioritized product backlog with detailed PRDs, user stories, and acceptance criteria aligned to AP domain outcomes.

Establish product KPIs: straight-through processing (STP) rates, invoice auto-match accuracy, exception reduction, and cycle time improvements.

Capture and share best-practice knowledge across EXL's AI product and solutions architect communities.

Mentor a cross-functional team of product managers, solution architects, ML engineers, and finance SMEs.

B.Tech or M.Tech in Computer Science, Software Engineering, Data Science, or related technical discipline.

14–16 years of total experience, with at least 6–8 years in AI/ML product engineering and 8+ years in Finance technology with deep AP/P2P domain ownership.

8+ years of hands-on experience in Generative AI and Large Language Models – finetuning LLMs, prompt engineering, and building with LLM orchestration frameworks (LangChain, LlamaIndex, RAGAS, LangGraph).

Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) as evidenced by production deployments or public repositories.

Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine-tuning for finance-specific models.

Strong experience in Agentic AI: Autonomous Agents, AutoGen, CrewAI, LangGraph workflow design; familiarity with NVIDIA AI Blueprints and Google AI Agents.

Experience in ML Engineering and MLOps, including MLflow, model versioning, drift monitoring, and retraining pipelines.

Proven ability to deliver complex AI products from ideation through production; track record of driving go-to-market for enterprise AI solutions.

Strong software engineering skills in Python, with experience building and integrating AI APIs, microservices, and cloud-native architectures.

We are seeking a seasoned Sr. AVP – AI Product Experience to own the design, build, and deployment of AI-powered product capabilities for the Accounts Payable domain. The role demands deep technical grounding in Generative AI, Agentic AI, and LLM engineering, combined with strong product leadership to translate AP process complexity into scalable, intelligent software solutions. The incumbent will work closely with engineering, data science, and client-facing teams to define and ship world-class AI experiences on EXL's Finance AI platform.