# EXL — VP - Sr. AI Consulting Architect & Client Partner

- Generated: 2026-09-07 04:01:16 PM EDT
- Original/canonical posting: https://jobright.ai/jobs/info/6a96e24ad13b4819f39dd7df
- Jobright source: https://jobright.ai/jobs/info/6a96e24ad13b4819f39dd7df
- Posted: 2026-09-01 10:33:46 AM EDT
- Elapsed since posting at capture: 6 days, 5 hours, 27 minutes
- Valid through: 2026-10-01T14:33:46
- Applicants: Not disclosed
- Work model/location: Remote — United States
- Employment type: Full time
- Compensation: $240,000-$277,000 annually
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 75% (81/108 weighted evidence points)

## Direct-match strengths

Enterprise GenAI/agentic architecture, Python/FastAPI/APIs, RAG, knowledge graphs, multi-agent systems, cloud-native platforms, LLMOps/evaluation, responsible AI, consulting, client-facing delivery, and globally distributed technical-team leadership.

## Hard or material gaps

Hard functional and verification conflicts: converting technical credibility into won and expanded engagements, shaping complex deals and SOWs, identifying account-expansion opportunities, and building follow-on pipeline are central requirements. Keith's target explicitly excludes GTM-centered work. Fine-tuning and distillation at scale are unsupported. EXL's live Dayforce portal is available, but the exact employer ATS record could not be resolved or independently verified.

## Evidence map

1. **Senior authority for enterprise GenAI and agentic architecture** — weight 3, evidence score 3/3. Direct production LLM, RAG, agentic, platform, and executive architecture leadership.
2. **Production LLM applications and multi-agent systems** — weight 3, evidence score 3/3. Direct AssistX, agents, multi-agent patterns, orchestration, MCP, and workflow automation.
3. **Expert Python, APIs, FastAPI, microservices, and distributed systems** — weight 3, evidence score 3/3. Direct hands-on source-supported evidence.
4. **Deep cloud AI platform and Kubernetes delivery** — weight 3, evidence score 3/3. Direct AWS, Bedrock, Claude/OpenAI, Docker, Kubernetes, and cloud-native delivery.
5. **LLMOps, evaluation, CI/CD, observability, and lifecycle** — weight 3, evidence score 3/3. Direct evaluation, monitoring, CI/CD, governance, observability, and MLOps evidence.
6. **Responsible AI, guardrails, safety, compliance, and auditability** — weight 2, evidence score 3/3. Direct MassMutual and AssistX governance, privacy, bias, drift, audit, validation, and prompt-injection controls.
7. **Consulting, client-facing delivery, and executive communication** — weight 3, evidence score 3/3. Direct NorthBay and AWS work with 200+ enterprise customers.
8. **Sales pursuits, won/expanded engagements, and follow-on pipeline** — weight 3, evidence score 1/3. Adjacent solution shaping and customer work, but this central GTM mandate conflicts with Keith's target.
9. **Lead global multidisciplinary teams** — weight 2, evidence score 3/3. Direct distributed teams and global AWS communities totaling 180+ specialists.
10. **Fine-tuning and distillation at scale** — weight 2, evidence score 0/3. Unsupported.
11. **Degree in CS, AI, engineering, data science, or related field** — weight 3, evidence score 1/3. Ph.D. is in molecular biology; extensive equivalent engineering experience is direct but the named degree is not.
12. **Remote and compensation constraints** — weight 3, evidence score 3/3. Explicit U.S. remote role and disclosed range exceeds $200,000.
13. **Canonical employer posting is independently verifiable** — weight 3, evidence score 0/3. The EXL Dayforce portal is live, but an exact role-specific employer ATS record could not be resolved.

## Full normalized job description

Note: The job is a remote job and is open to candidates in USA. EXL is a global data and AI company that helps enterprises transform through industry expertise, analytics, and AI implementation. The VP - Sr. AI Consulting Architect & Client Partner will serve as the senior technical authority for enterprise Generative and Agentic AI programs, leading client relationships, solution architecture, delivery, governance, and technical team development.
Responsibilities
Partner with sales and practice leaders to shape pursuits, solution complex deals, and influence SOWs, estimates, and delivery approach
Serve as the senior technical voice in client pursuits and executive conversations, converting technical credibility into won and expanded engagements
Build reusable accelerators, reference architectures, and IP that lower delivery cost and differentiate EXL in the market
Identify expansion opportunities within accounts and translate delivered outcomes into follow-on pipeline
Lead and grow global, multi-disciplinary AI teams, and raise the technical bar across the practice
Partner with business and technology leaders to define AI roadmaps and implementation strategy
Mentor architects and engineers, and build a bench of senior technical talent
Translate complex architectures for executive and non-technical audiences
Own architecture, design, and implementation of enterprise-grade GenAI and Agentic AI solutions from concept to production
Define scalable reference architectures and design patterns for AI platforms, copilots, and intelligent agents
Establish architectural standards, reusable components, and best practices across delivery programs
Design secure, resilient, highly available AI systems at enterprise scale, across structured and unstructured data
Design and deliver LLM-powered applications: conversational AI, enterprise copilots, knowledge management, and workflow automation
Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches
Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks
Define memory, context, planning, tool-use, and reasoning strategies for agentic systems
Stay technical. Contribute to architecture, critical-path code, design reviews, and the hardest technical problems
Design APIs, microservices, and cloud-native AI services that underpin enterprise AI ecosystems
Guide teams on software architecture, performance, scalability, security, and maintainability
Architect governance frameworks for auditability, observability, explainability, and compliance
Design guardrails for hallucination, prompt injection, toxicity, and model safety
Establish LLMOps: evaluation pipelines, automated testing, CI/CD, monitoring, and production governance
Define evaluation frameworks spanning quality, safety, reliability, latency, and business outcomes
Skills
Experience (In Years): 15+
* **Programming & engineering:**expert Python; REST APIs and microservices; FastAPI; distributed systems; cloud-native architecture
* **LLM application delivery:**prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system
* **Cloud AI platform:**deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment
* **LLMOps & evaluation:**CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management
* **Responsible AI:**governance frameworks, guardrails, model safety, compliance, and auditability
* 10–15 years across software engineering, AI/ML, data science, or enterprise architecture, with a clear trajectory into senior technical leadership
* Proven track record architecting and deploying production-scale AI, from strategy through implementation
* Experience in a consulting, services, or client-facing delivery environment, including supporting pre-sales or solution shaping
* Experience leading globally distributed, multi-disciplinary teams
* Bachelor's in Computer Science, AI, Engineering, Data Science, or a related field
* **Orchestration frameworks:**LangChain / LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands
* **Advanced retrieval:**Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases
* **Agentic patterns:**multi-agent architectures, planning and reasoning, MCP (Model Context Protocol)
* **Model customization:**fine-tuning, distillation, and model evaluation at scale
* **Frontier model families:**OpenAI, Claude, Gemini, Llama, Mistral
Master's preferred
Company Overview
EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries It was founded in 1999, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.exlservice.com.
Company H1B Sponsorship
EXL has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- LinkedIn connection request: Not generated for a FAIL role.
- Google Drive used: No