Delivery Lead - AI

Location: New York, United States

Type: Full-time

Department: Technology

Job Summary

The Delivery Leader – AI Engineering is a senior executive accountable for the end-to-end delivery of complex, high-impact AI Engineering programs across a portfolio of strategic client accounts. This leader bridges technical depth with delivery excellence—ensuring that AI solutions are shipped on time, within scope, and with measurable business value. Operating at the intersection of engineering, product, and client strategy, this individual drives consistency, quality, and growth across multiple concurrent programs.

This role demands a rare combination of hands-on AI/ML knowledge, enterprise delivery discipline, and executive client relationship management. The Delivery Leader cultivates high-performing teams, establishes delivery frameworks scaled for AI complexity, and serves as the senior accountability point across accounts

Responsibilities

Portfolio & Program Delivery

Own end-to-end delivery accountability across a portfolio of AI Engineering projects spanning multiple client accounts and industry verticals
Establish and govern delivery frameworks, methodologies, and standards tailored for AI/ML program complexity (e.g., iterative ML pipelines, model governance, data readiness gates)
Drive project planning, milestone tracking, risk management, and executive reporting across all active engagements
Proactively identify delivery risks—technical debt, scope creep, resource gaps—and execute mitigation strategies
Ensure consistent application of delivery best practices: agile ceremonies, sprint cadences, retrospectives, and continuous improvement loops

Client & Stakeholder Management

Serve as the executive delivery sponsor for strategic accounts, building trusted C-suite and VP-level relationships
Lead quarterly business reviews (QBRs), program status briefings, and executive steering committees
Translate complex AI/ML delivery status into clear business narratives for non-technical client stakeholders
Act as the primary escalation point for delivery issues, exercising judgment to resolve conflicts quickly while preserving client relationships
Partner with account management and sales teams to identify expansion opportunities and support commercial growth

People & Team Leadership

Lead, mentor, and develop a multi-disciplinary team of delivery managers, ML engineers, data engineers, and solution architects
Build a high-performance delivery culture centered on ownership, transparency, and continuous learning
Collaborate with resource management to ensure optimal staffing of AI talent across accounts
Foster psychological safety and inclusive team dynamics, enabling diverse teams to do their best work
Identify capability gaps and partner with L&D to upskill delivery teams on emerging AI technologies and practices

AI Engineering Oversight

Provide technical oversight and architectural guidance on AI/ML solution design, ensuring technical decisions align with delivery timelines and client objectives
Govern model lifecycle management across accounts: from data ingestion and model training to evaluation, deployment, and monitoring
Champion responsible AI practices including fairness assessments, bias mitigation, explainability requirements, and compliance controls
Stay current with frontier AI developments (LLMs, agentic AI, multimodal systems) and advise clients on strategic adoption paths
Partner with enterprise architecture teams to ensure AI solutions integrate securely within client technology ecosystems

Operational Excellence & Growth

Define and track KPIs for delivery health across the portfolio: on-time delivery, utilization, client satisfaction (NPS/CSAT), and margin performance
Drive standardization through reusable delivery assets, playbooks, and accelerators that reduce time-to-value across AI engagements
Contribute to practice development: thought leadership, case studies, go-to-market narratives, and proposal development
Support hiring and team growth, establishing the delivery function as a center of AI delivery excellence

Eligibility Requirements

Required

10+ years of experience in technology program delivery, with at least 4 years leading AI/ML or data engineering programs at scale
Proven track record managing multi-million-dollar, multi-account delivery portfolios in a consulting, systems integration, or technology services environment
Deep understanding of the AI/ML project lifecycle: data strategy, feature engineering, model development, MLOps, and production AI systems
Strong executive presence with demonstrated ability to build and maintain C-level client relationships
Experience leading cross-functional, geographically distributed teams of 20+ across engineering, data science, and architecture disciplines
Proficiency in enterprise agile delivery (SAFe, Scrum, Kanban) and program governance frameworks
Excellent communication and storytelling skills—ability to articulate complex AI concepts to both technical and business audiences

Preferred

Background in software engineering, data science, or ML engineering (hands-on experience a strong differentiator)
Experience deploying LLM-powered solutions, generative AI products, or agentic AI systems in enterprise environments
Familiarity with major cloud AI platforms: AWS SageMaker, Azure ML, Google Vertex AI
Knowledge of AI governance, responsible AI frameworks, and enterprise data privacy regulations (GDPR, CCPA, HIPAA)
PMP, PgMP, or SAFe Program Consultant (SPC) certification
MBA or advanced degree in Computer Science, Engineering, or a related field
Industry expertise in financial services, healthcare, retail, or manufacturing (sectors with complex AI use cases)

In the US, the target base salary for this role is $200,000-$250,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors

How to Apply

Click "Apply Now" to submit your resume through our career site
Be sure to include any relevant experience that aligns with the role.
Qualified candidates will be contacted by a member of our recruitment team for next steps

About eClerx

eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.

The firm 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 traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.

For more information, visit www.eclerx.com

You can also find us on:

https://www.linkedin.com/company/eclerx/

https://www.indeed.com/cmp/Eclerx/about

https://www.glassdoor.com/eClerx

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here