Description:

About the Role

We are seeking an experienced Delivery Head (12+ years) who will be responsible for planning, coordinating, and delivering complex AI/ML and cloud-native solutions across multiple clients.

This is a hands-on leadership role requiring strong technical and delivery management expertise. The ideal candidate can design delivery blueprints, steer execution amid ambiguity, and manage client and project challenges with composure and confidence.

Key Responsibilities:

1. Project Delivery Leadership

Own the end-to-end delivery lifecycle for projects involving:

- AI Agentic Solutions (e.g., autonomous agents, copilots, LLM integrations)

- DevOps & Platform Engineering (CI/CD, IaC, cloud-native platforms)

- Custom Web & Backend Applications

- Cross-platform Mobile Applications

- Ensure timely, high-quality, and within-scope delivery.

- Translate complex technical objectives into actionable milestones and deliverables.

2. Client Management & Stakeholder Communication

- Act as the primary liaison between clients and internal delivery teams.

- Lead onboarding, requirement workshops, demos, and progress reviews (conduct demos personally where feasible).

- Proactively manage client expectations, delivery dependencies, and project risks.

3. Agile Team Coordination

- Drive agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog grooming.

- Coordinate across engineering, ML, DevOps, design, and QA teams.

- Remove blockers and ensure cross-functional alignment.

4. Planning & Resource Management

- Develop and maintain detailed project plans and delivery roadmaps.

- Allocate and manage resources across multiple concurrent projects.

- Track budgets, timelines, and ROI to ensure operational efficiency.

5. Process Excellence & Delivery Standards

- Define and implement standardized delivery frameworks tailored for AI projects.

- Enforce best practices in version control, testing, and CI/CD automation.

- Create reusable workflows, templates, and playbooks for repeatable success.

6. Monitoring, Reporting & Optimization

- Track delivery KPIs such as sprint velocity, budget burn, timeline adherence, and client satisfaction.

- Conduct project health checks and retrospectives to identify improvement areas.

- Drive a culture of continuous improvement and knowledge sharing.

7. Pre-Sales & Solutioning Support

- Partner with Solution Architects and Sales teams to scope project proposals.

- Define delivery timelines, resource requirements, and technical feasibility for bids.

Skills Required:

Strong leadership experience with the ability to manage end-to-end delivery of complex AI/ML, cloud-native, and full-stack engineering projects.

Deep technical understanding of AI agentic systems, LLM integrations, cloud platforms (AWS/Azure/GCP), DevOps practices, and modern application architectures.

Proven expertise in Agile delivery, including sprint management, backlog planning, and cross-functional team coordination.

Excellent capability to manage client relationships, handle escalations, conduct workshops, lead demos, and communicate project progress clearly.

Strong skills in project planning, budgeting, resource management, risk handling, and execution governance across multiple engagements.

Ability to define and enforce delivery standards, best practices, CI/CD automation, and reusable frameworks for scalable execution.

Experience monitoring key delivery KPIs, conducting health checks, and driving a culture of continuous improvement and operational excellence.

Proficiency in supporting pre-sales, solutioning, estimations, proposal creation, and aligning delivery feasibility with business goals.

Excellent analytical thinking, problem-solving, decision-making, and the ability to operate confidently in ambiguous or fast-changing environments.

Strong interpersonal, leadership, coaching, and team motivation skills with the ability to build high-performing engineering teams.