Sr Agentic AI

eClerx LLC; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

eClerx LLC is hiring a Sr Agentic AI Tech Lead to drive design, development, and deployment of enterprise AI solutions. You will lead architecture, LLM orchestration, and automation frameworks, guiding multi-disciplinary teams to deliver high-impact AI programs.

The role requires deep expertise in AI system design, cloud-native development, and MLOps, with a strong leadership track record for delivering complex initiatives.

Qualifications

• Bachelor's or Master's in Computer Science, AI/ML, or related technical discipline.
• 8-12 years tech experience with at least 3 years in AI/automation leadership.
• Proven experience designing and deploying agentic AI/LLM-based systems in enterprise settings.
• Expertise in Python, APIs, vector databases, and orchestration frameworks (LangChain, AutoGen, Copilot Studio or similar).

Responsibilities

• Own end-to-end technical strategy and architecture for the Agentic AI program, ensuring scalability and security.
• Lead design and development of agentic AI workflows using LLMs, orchestration frameworks and autonomous systems.
• Mentor engineers and data scientists; run agile sprints and release planning for multiple workstreams.
• Define governance, performance metrics, and ensure delivery timelines and compliance.

Skills

AI leadership

Python

APIs

LLM orchestration

MLOps

Cloud-native AI

Leadership

Education

Bachelor's degree in CS/AI or related

Master's degree in CS/AI or related

Tools

LangChain

AutoGen

Copilot Studio

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

eClerx is Hiring for Sr Agentic AI

Experience: 10 + Years Job Title: Tech Lead Agentic AI Role Overview: The Tech Lead Agentic AI will spearhead the design, development, and deployment of agentic AI solutions that transform enterprise operations and decision-making. This role requires deep technical expertise in AI system architecture, LLM orchestration, and automation frameworks, combined with leadership capabilities to guide multi-disciplinary teams and deliver high-impact AI programs.

Key Responsibilities

1. 1. Technical Leadership & Architecture
   • Own the end-to-end technical strategy and architecture for the Agentic AI program, ensuring scalability, security, and enterprise alignment.
   • Lead design and development of intelligent agent workflows leveraging LLMs, reasoning engines, and autonomous orchestration frameworks (e.g., LangChain, AutoGen, Copilot Studio).
   • Establish coding standards, MLOps practices, and integration frameworks to ensure quality and maintainability.
   • Collaborate with solution architects, data engineers, and DevOps to design cloud-native, production-ready AI systems.
2. 2. Solution Design & Delivery
   • Translate business and functional requirements into detailed technical specifications, solution blueprints, and implementation plans.
   • Oversee AI model integration, API development, and data pipeline orchestration.
   • Drive experimentation, fine-tuning, and continuous improvement of agentic workflows for accuracy, responsiveness, and efficiency.
   • Ensure delivery timelines, quality standards, and compliance benchmarks are met across all AI initiatives.
3. 3. Team & Program Leadership
   • Mentor and guide engineers, data scientists, and automation developers in building AI-powered solutions.
   • Lead agile sprints, design reviews, and release planning sessions for multiple concurrent workstreams.
   • Partner closely with business analysts, product owners, and stakeholders to ensure alignment between technical delivery and business value.
   • Manage vendor or partner engagements for AI platform integration and model deployments.
4. 4. Innovation, Optimization & Governance
   • Evaluate emerging tools, LLM frameworks, and agent orchestration technologies to continuously enhance solution capabilities.
   • Define and monitor performance metrics (e.g., automation rate, accuracy, response latency, ROI).
   • Implement governance practices for AI model explainability, data privacy, and ethical compliance.
   • Champion reusability, modularity, and best practices for sustainable AI engineering.

Qualifications & Skills

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical discipline.
• 8-12 years of experience in technology roles with at least 3 years in AI/automation leadership.
• Proven experience in designing and deploying agentic AI or LLM-based systems in enterprise settings.
• Expertise in Python, APIs, vector databases, and orchestration frameworks (LangChain, AutoGen, Copilot Studio, or similar).
• Strong understanding of cloud-native AI development (Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Solid grasp of MLOps, prompt engineering, and retrieval-augmented generation (RAG) patterns.
• Experience integrating AI agents with business systems (CRM, ERP, ITSM, or custom workflows