Job DescriptionDelivery Lead - AILocation: Austin, Texas, United States
Type: Full-time
Department: Technology
Job SummaryThe 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
ResponsibilitiesPortfolio & 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 RequirementsRequired- 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
