The Role
Lead end-to-end enterprise AI/GenAI solution architecture and delivery: discovery, design, development, deployment, governance, and mentoring. Engage stakeholders, support pre-sales, define scalable LLM/RAG/agent architectures using vector DBs, cloud, MLOps, and best practices.
Summary Generated by Built In
AI & Generative AI
- Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral)
- Generative AI and Agentic AI architectures
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Multi-Agent Systems
- AI Orchestration Frameworks (LangChain, LangGraph, CrewAI, AutoGen)
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
- Machine Learning and Deep Learning fundamentals
- Model evaluation, deployment, and monitoring
- Feature engineering and data pipelines
- Python (mandatory)
- AWS, Azure, or GCP
- REST APIs and Microservices
- MLOps / LLMOps
- Docker and Kubernetes
- Enterprise Solution Architecture
- Technical Consulting and Pre-Sales
- Requirements Gathering and Solution Design
- Stakeholder Management
- Executive Presentations and Customer Workshops
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 10–15+ years of experience in software engineering, AI/ML, data science, or solution architecture.
- Proven experience delivering enterprise AI/GenAI solutions in production environments.
- Strong customer-facing and leadership experience.
- Certifications in AWS, Azure, GCP, or Generative AI.
- Experience with Responsible AI, AI Governance, and Security.
- Exposure to Telecom, BFSI, Retail, Healthcare, Manufacturing, or Supply Chain domains.
- Lead end-to-end AI solutioning activities, including discovery, architecture, design, development, and deployment.
- Engage with business stakeholders, customers, and leadership teams to identify AI opportunities and define solution roadmaps.
- Design and implement Generative AI, Agentic AI, and Machine Learning solutions aligned with business objectives.
- Architect enterprise-grade AI applications leveraging LLMs, RAG frameworks, AI agents, vector databases, and cloud platforms.
- Collaborate with pre-sales and delivery teams for solution proposals, effort estimation, and technical presentations.
- Define scalable AI architecture, governance frameworks, security controls, and best practices.
- Guide engineering teams through implementation, code reviews, and deployment strategies.
- Drive innovation by evaluating emerging AI technologies, frameworks, and industry trends.
- Mentor AI engineers, data scientists, and architects while fostering technical excellence.
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 10-15+ years of experience in software engineering, AI/ML, data science, or solution architecture.
- Proven experience delivering enterprise AI/GenAI solutions in production environments.
- Strong customer-facing and leadership experience.
- Proficiency in Python (mandatory).
- Experience with cloud platforms: AWS, Azure, or GCP.
- Experience with LLMs (OpenAI, Claude, Gemini, Llama, Mistral) and Generative/Agentic AI architectures.
- Experience with Retrieval-Augmented Generation (RAG) and Prompt Engineering.
- Familiarity with AI orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen) and multi-agent systems.
- Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS).
- Knowledge of machine learning and deep learning fundamentals, model evaluation, deployment, and monitoring.
- Experience with feature engineering and building data pipelines.
- Experience with REST APIs, microservices, Docker, and Kubernetes.
- Experience with MLOps / LLMOps and production deployment strategies.
- Enterprise solution architecture, technical consulting, pre-sales, requirements gathering, and stakeholder management.
- Ability to run executive presentations and customer workshops.
- Certifications in AWS, Azure, GCP, or Generative AI.
- Experience with Responsible AI, AI governance, and security.
- Industry exposure to Telecom, BFSI, Retail, Healthcare, Manufacturing, or Supply Chain.
eClerx LLC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eClerx LLC and has not been reviewed or approved by eClerx LLC.
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Healthcare Strength — Feedback suggests U.S. employees have access to medical, dental, and vision coverage, with HSA/FSA options and life insurance included. An Employee Assistance Program also appears in the public benefits profile supporting wellbeing.
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Retirement Support — Feedback suggests a 401(k) is part of the U.S. package, with some mentions of an employer match. Retirement provision is consistently cited across company profiles and listings.
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Leave & Time Off Breadth — Feedback suggests paid holidays, sick leave, and PTO are part of the offering, alongside parental leave. Parental leave is also highlighted in public benefits profiles.
eClerx LLC Insights
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The Company
What We Do
eClerx provides business process management, automation and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is today traded on both the Bombay and National Stock Exchanges of India. The firm employs 16,000+ people across Australia, Canada, Germany, India, Italy, Netherlands, Philippines, Singapore, Thailand, UK, and the USA.
