AVP, GenAI Enterprise Architect

Skip to main content.

View More Jobs

AVP, GenAI Enterprise Architect

Apply Now

Job Info

• Job Identification16917
• Posting Date07/09/2026, 05:28 PM
• Job RoleAI Engineer-AI Solutions Architect
• Experience (In Years)9-12
• Job LocationUS Remote

Job Description

Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP). Lead technical strategies across the standard 7-layer GenAI stack (from data ingestion to application interfaces), ensure scalability, manage AI security/hallucinations, and bridge business needs with engineering teams.

Responsibilities

• System Design & Architecture: Architect end-to-end Generative AI systems by operationalizing the 7-layer AI architecture (Data Sources, Preprocessing, Model Selection, Orchestration, Inference, Integration, and Application).
• Model Selection & Tuning: Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases.
• LLMOps, Observability & Pipelines: Establish LLMOps standards for model versioning and CI/CD. Implement foundational observability (OBS) layers using tools like Datadog, Splunk, or Prometheus to monitor system health, API latency, and basic application metrics.
• Integration & Data Protection: Integrate AI solutions with existing APIs while enforcing core data protection measures, including Role-Based Access Control (RBAC), data encryption in transit, and basic PII (Personally Identifiable Information) masking to manage hallucinations and adversarial attacks.
• Strategic Leadership: Collaborate with stakeholders to map business challenges to AI solutions and establish AI governance frameworks.
• Client Consulting: Act as the primary onshore technical liaison, facilitating client workshops, requirements gathering, and translating business pain points into technical AI blueprints.

Qualifications

• Consulting Skills: Exceptional client-facing communication skills; proven ability to present complex technical concepts to business stakeholders.
• Technical Expertise: Deep knowledge of NLP, Python, deep learning frameworks (PyTorch/TensorFlow), and orchestration tools (LangChain, Autogen).
• Cloud & Data Systems: Extensive hands-on experience with AI services on AWS, Azure, or GCP. Expertise in vector databases (e.g., Pinecone, Milvus) and embedding techniques.
• Qualifications: Bachelor’s / Master’s in Computer Science, AI, Data Science, or related field; 8–15 years in software engineering, ML, or AI roles, with demonstrable onshore consulting experience.

Similar Jobs

• Home
• About Us
• Investors Relations

I am an employee

IMP NoticeLearn more

ACCEPT COOKIESDECLINE OPTIONAL COOKIES

Are You Still With Us?

It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.

End SessionContinue Working

Work Summary

This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.

DiscardAdd Summary

Page AVP, GenAI Enterprise Architect - EXL Talent Acquisition Team Careers loaded