AI Delivery Lead

Who we are: -

At CitiusTech, we constantly strive to solve the industrys greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the worlds leading Healthcare and life sciences organizations and our partners.

Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.

What is in it for you The AI Delivery Lead is a senior leadership role responsible for end-to-end delivery of AI and GenAI projects for enterprise customers. This individual will serve as the primary delivery owner across the full project lifecycle from discovery and solution design through implementation and go-live ensuring that projects are delivered on time, within budget, and aligned with customer outcomes.

The role combines strategic project leadership with deep technical fluency in AI/ML, enabling the AI Delivery Lead to bridge the gap between business stakeholders, technical teams, and customer leadership. This person will be hands-on during discovery and planning phases and shift to a governance and review role during implementation, while maintaining overall accountability for delivery quality and resource utilization.

Key Responsibilities

1. Discovery & Assessment Phase

Lead customer discovery workshops to identify high-value AI use cases, assess data readiness, and define success criteria

Conduct current-state assessment of customer s technology landscape, data infrastructure, and organizational AI maturity

Collaborate with solution architects and data engineers to evaluate feasibility, estimate effort, and identify technical risks

Develop discovery deliverables including use case prioritization matrices, data readiness scorecards, and preliminary solution hypotheses

Engage customer stakeholders (IT, business, clinical/operations) to align on scope, timelines, and expected business outcomes

2. Planning & Solution Design Phase

Define project scope, work breakdown structure (WBS), milestones, dependencies, and delivery timelines

Partner with AI/ML architects to design solution architecture covering data pipelines, model training, serving infrastructure, and integration touchpoints

Establish project governance framework including steering committees, escalation paths, RACI matrices, and communication cadence





Create staffing plans and resource allocation strategies across onshore, offshore, and customer teams

Define acceptance criteria, quality gates, and definition of done for each sprint and phase

Identify and document project risks with mitigation and contingency strategies

3. Implementation Phase (Governance & Review)

Serve as the delivery governance lead, conducting sprint reviews, code and architecture reviews, and quality checkpoints

Monitor delivery velocity, burndown metrics, and team health; intervene proactively when delivery is at risk

Review technical artifacts including model evaluation reports, data pipeline designs, API specifications, and deployment runbooks

Ensure adherence to coding standards, MLOps best practices, security protocols, and compliance requirements

Facilitate customer demos, UAT cycles, and sign-off processes at each milestone

Act as the escalation point for technical blockers, scope changes, and cross-team dependencies

4. Resource Management & Delivery Operations

Own day-to-day delivery operations ensuring sprint commitments are met and impediments are cleared within 24 hours

Manage project team composition including onboarding, skill-gap assessment, and performance feedback for delivery resources

Optimize resource utilization across concurrent AI engagements, balancing workload and bench time

Coordinate with the talent and hiring team to forecast resourcing needs and participate in technical interviews

Manage project financials including budget tracking, effort variance analysis, and margin reporting

5. Customer Relationship & Stakeholder Management

Serve as the single point of accountability for the customer on all delivery matters

Conduct weekly and monthly status reviews with customer leadership, presenting progress, risks, and decisions needed

Build trusted advisor relationships with customer CIOs, CDOs, VPs, and line-of-business owners

Identify upsell and expansion opportunities during engagements and partner with sales/account teams to pursue them

Required Qualifications

12 15 years of total IT experience with at least 4 5 years in delivery management of AI/ML or data engineering projects

Demonstrated experience leading teams of 10 25+ across onshore/offshore delivery models





Strong understanding of ML lifecycle including data preparation, feature engineering, model training, evaluation, deployment, and monitoring

Experience with GenAI technologies including LLMs, RAG architectures, prompt engineering, vector databases, and agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)

Proficiency in at least one cloud platform (AWS, GCP, or Azure) with understanding of AI/ML managed services

Experience with Agile/Scrum delivery at scale; certified Scrum Master or SAFe credentials preferred

Excellent verbal and written communication skills with the ability to present to C-suite and technical audiences

Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field

Preferred Qualifications

Prior experience delivering AI solutions in healthcare (payer, provider, pharma, or life sciences verticals)

Familiarity with healthcare data standards such as HL7, FHIR, EDI (837/835), HIPAA, and clinical terminologies

Experience in Revenue Cycle Management (RCM) automation, claim processing, prior authorization, or clinical NLP use cases

PMP, PgMP, or equivalent project management certification

Experience building and scaling AI Centers of Excellence or AI platform teams within IT services organizations

Exposure to AI governance frameworks, responsible AI principles, and model risk management

Locations

One of CitiusTech offices at

Mumbai

Pune

Bangalore

Chennai

Life at CitiusTech

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.

Rated by our employees as the Great Place to Work for according to the Excellent Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.

Our EVP

Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives.

Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.

Join CitiusTech. Be You. Be Awesome.

To learn more about CitiusTech, visit and follow us on

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