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Salary
≈ $22k – $43k per year (Estimated)
Location
In office (Pune)
Seniority
Architect · 16+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026. eClerx scores C on the Alion truth index.

Overview
Company
Impact
Profile match
eClerx is an Indian knowledge process outsourcing and analytics company that provides data management, operations, analytics and automation services to large enterprises. Founded in 2000 and listed on the Indian stock exchanges, it serves financial services, communications, retail, technology and media clients from delivery centres in India, the Philippines, Thailand and Europe, covering digital customer operations, financial markets operations and programmatic media buying. The company is headquartered in Mumbai, India.

We are looking for an experienced AI Delivery Lead to drive large-scale AI transformation programs across enterprise clients. This leadership role requires a strong blend of technical expertise, delivery excellence, program management, and stakeholder engagement. The ideal candidate will have extensive experience delivering enterprise AI solutions, including Agentic AI, Generative AI, Machine Learning, and AI/ML platforms, while managing global teams and complex client engagements.

The candidate should be a techno-functional leader capable of translating business objectives into scalable AI solutions and ensuring successful program execution from strategy through implementation.

Key Responsibilities

  • Lead end-to-end delivery of large-scale AI, Generative AI, Agentic AI, and Machine Learning programs.
  • Define delivery strategy, execution roadmap, governance, and operating models for enterprise AI initiatives.
  • Partner with business stakeholders to understand strategic objectives and translate them into scalable AI solutions.
  • Drive multiple concurrent AI transformation programs, ensuring timely delivery, quality, and customer satisfaction.
  • Lead cross-functional teams comprising Architects, Data Scientists, AI Engineers, ML Engineers, Data Engineers, and Product teams.
  • Establish delivery governance, risk management, resource planning, budgeting, and program reporting.
  • Drive adoption of AI best practices, Responsible AI principles, and enterprise AI governance.
  • Collaborate with Sales, Presales, and Solution teams to support proposals, solution design, and client presentations.
  • Mentor delivery managers and technical leaders while building high-performing AI delivery teams.
  • Stay current with emerging AI technologies and identify opportunities to accelerate business transformation.

Required Skills & Experience

  • 16+ years of experience in Technology Delivery, Digital Transformation, or Enterprise Program Delivery.
  • Proven experience managing large-scale AI/GenAI transformation programs for enterprise clients.
  • Strong understanding of Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, LLMs, and AI automation.
  • Experience delivering AI solutions on cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
  • Strong knowledge of AI architecture, MLOps, data engineering, and enterprise integration.
  • Experience managing distributed global delivery teams and multiple client engagements.
  • Excellent stakeholder management with CXO-level client interaction.
  • Strong financial management, delivery governance, and program management expertise.
  • Experience working in Agile and hybrid delivery environments.

Preferred Qualifications

  • Experience leading AI Centers of Excellence (CoE) or AI practice teams.
  • Exposure to Agentic AI frameworks, RAG architectures, AI orchestration, and enterprise LLM platforms.
  • Knowledge of Responsible AI, AI governance, and regulatory compliance.
  • MBA or relevant leadership certifications are an added advantage.
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