PUNE · FULLTIME
Associate Program Manager
eClerx
Pune · onsite · Posted 28d ago
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Undisclosed13–18 yrsfulltimePune
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Section · 01
About this role
Role Overview
We are seeking a Lead Forward Deployed AI Engineer to architect and deliver enterprise-scale AI transformation programs. This role combines deep technical expertise with solution architecture, delivery leadership, and customer engagement to build scalable AI platforms that drive business innovation.
The ideal candidate will be a techno-functional leader with extensive experience in Generative AI, Agentic AI, LLMs, AI platform engineering, enterprise solutioning, and large-scale customer engagements. You will lead technical teams, mentor engineers, and work closely with CXOs and business leaders to deliver AI-powered transformation initiatives.
Key Responsibilities
- Lead the design, architecture, and deployment of enterprise AI solutions leveraging Generative AI, Agentic AI, LLMs, RAG, and AI Agents.
- Partner with clients to define AI strategies, solution roadmaps, and enterprise AI adoption plans.
- Lead AI solutioning, architecture workshops, and technical discovery sessions.
- Drive AI-enabled transformation across business operations and Software Development Lifecycle (SDLC).
- Architect intelligent automation and multi-agent solutions using LangGraph, CrewAI, LangChain, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, and similar platforms.
- Optimize AI platforms for performance, accuracy, scalability, latency, and operational cost.
- Lead cross-functional engineering teams across AI, Data Science, Platform Engineering, and DevOps.
- Establish engineering standards, architecture governance, code reviews, and AI best practices.
- Mentor engineering teams and promote innovation across enterprise AI programs.
- Support pre-sales, solution consulting, executive presentations, and strategic client engagements.
Required Skills Qualifications
- 13+ years of experience in Software Engineering, AI Engineering, Solution Architecture, or Enterprise Technology.
- Proven experience leading enterprise AI delivery and customer-facing engagements.
- Strong expertise in LLMs, Agentic AI, Generative AI, RAG, Prompt Engineering, AI Agents, and AI orchestration frameworks.
- Hands-on experience with LangGraph, CrewAI, LangChain, LlamaIndex, or similar platforms.
- Strong knowledge of AWS Bedrock, Azure AI Foundry, Google Gemini Enterprise, and enterprise AI ecosystems.
- Experience building scalable AI platforms using Python, Hugging Face, PyTorch, TensorFlow, and modern AI frameworks.
- Strong understanding of software architecture, APIs, microservices, distributed systems, and cloud-native development.
- Experience leading technical teams and mentoring engineers.
- Excellent communication, stakeholder management, consulting, and client engagement skills.
Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Customer EngagementAutomationDevopsBedrockCrewaiDistributed SystemsAzure Aiapisaws bedrockai frameworksamazon web servicesai engineerdeploymentcloudArchitectureBusiness OperationsAi PlatformAi SolutionsMicrosoft AzureData ScienceArtificial Intelligence
Section · Company
About eClerx
eClerx
IT Services & Consulting
12.2k+
employees
2000
26 years old
Mumbai, Maharashtra
India
About
A Process Management Firm specializing in analytics, data-driven insights, and smart automation serving financial services, telco, retail, fashion, media & entertainment, manufacturing, and tech.
Industries
IT Services & Consulting
Employee ratings
6,313 reviews
3.1/ 5
Culture
2.9
Career growth
2.4
Work-life
3.0
Employees rate it well for
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