Manager Consulting Delivery- Technical Manager Delivery -AI Solutions/ Platform (Gen AI / LLM, RAG)

Position Description
Company Profile:
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.
Position: Manager Consulting Delivery- Technical Manager Delivery - AI Solutions / Platform(Gen AI / LLM, RAG, Agentic AI)
Experience: 12+Years
Category: Software Development/ Engineering
Shift: 12:00 PM-9.30 PM
Location: Bangalore/Pune
Position ID: J1026-0360
Employment Type: Full Time
Education Qualification: Bachelor’s degree in computer science or related field or higher with minimum 12 years of relevant experience.
We are seeking an experienced Technical Manager - Delivery to lead engineering delivery for enterprise AI solutions and reusable AI platform capabilities. The role combines strong technical leadership with delivery and people management. The candidate will guide developers, AI engineers, QA and DevOps engineers; challenge architecture and design decisions; drive engineering quality, security, scalability and production readiness; and ensure predictable delivery of business outcomes.
The ideal candidate should have a strong application engineering foundation in Java and/or Python, APIs, microservices and cloud-native platforms, together with practical experience delivering Generative AI solutions using LLMs, RAG and agentic AI patterns. The role does not require an AI research background; the emphasis is enterprise AI application engineering and technical delivery leadership.
Your future duties and responsibilities
Technical & Delivery Leadership
Lead end-to-end technical delivery of enterprise AI solutions, GenAI applications and reusable AI platform capabilities from design through production.
Provide technical direction and review solution architecture, detailed design, APIs, integration patterns, code quality, performance, scalability and security.
Guide implementation of LLM-based solutions including RAG, agentic workflows, tool calling, orchestration, prompt engineering and enterprise integrations.
Own sprint and release planning, estimation, resource allocation, technical dependencies, risks, quality and delivery commitments.
Drive production readiness, incident resolution, root-cause analysis, performance optimization and continuous improvement of AI services and platforms.
Team Engagement & People Leadership
Lead, mentor and engage cross-functional teams comprising AI/application developers, technical leads, QA and DevOps engineers.
Build a strong engineering culture focused on collaboration, ownership, innovation, knowledge sharing and continuous improvement.
Conduct regular team connect sessions, 1:1s and feedback discussions; identify engagement risks, impediments and actions to improve team effectiveness.
Drive hiring, onboarding, career development, performance management, succession planning and targeted upskilling in AI engineering and modern development practices.
Identify skill gaps and create technical learning plans, communities of practice and opportunities for team members to contribute to reusable AI assets.
Operations & Engineering Management
Own delivery operations for the technical organization, with accountability for revenue, gross margin, net margin, cost, utilization and overall delivery health.
Track actuals versus plan for revenue, gross margin and net margin; identify variances early and drive corrective actions with delivery and leadership teams.
Prepare revenue and resource forecasts, including capacity planning, demand pipeline, ramp-up/ramp-down plans, hiring needs and allocation of technical resources across engagements.
Monitor team utilization and bench levels, balancing billable delivery, platform investments, production support, technical debt and capability development.
Drive productivity and engineering efficiency through automation, AI-enabled development, reuse of platform capabilities and continuous improvement initiatives.
Establish and review operational KPIs covering revenue attainment, margin performance, utilization, productivity, delivery predictability, quality, automation, incidents and customer commitments.
Lead operational governance including monthly/quarterly business reviews, financial reviews, resource reviews, risk and dependency reviews, and action tracking.
Partner with account, finance, sales and delivery leadership on forecasting, financial planning, staffing decisions, pricing inputs and opportunities to improve delivery economics.
AI Engineering & Quality
Establish AI quality and reliability practices covering evaluation, grounding, hallucination reduction, guardrails, latency, cost, monitoring and human-in-the-loop controls where appropriate.
Promote AI-enabled software development practices using coding assistants/agents for development, testing, code review and engineering productivity, with appropriate governance.
Stakeholder & Cross-functional Collaboration
Partner with Product Owners, Business Analysts, Architects and business stakeholders to translate business problems into scalable technical solutions.
Communicate technical risks, trade-offs, delivery status and operational performance clearly to leadership and non-technical stakeholders.
Required Qualifications To Be Successful In This Role
Must to Have Skills:
12+ years of software engineering experience with significant technical leadership and delivery management responsibility.
Recent practical experience delivering enterprise GenAI/AI applications or platforms.
Strong understanding of LLM application patterns: prompt engineering, RAG, embeddings, vector search/vector databases and model evaluation.
Understanding of agentic AI concepts including agents, tool/function calling, workflow orchestration, state/memory and human-in-the-loop patterns.
Strong backend engineering experience in Java/Spring Boot and/or Python/FastAPI, with REST APIs, microservices and distributed application architecture.
Experience designing or managing reusable platform services and enterprise integrations rather than only standalone AI proofs of concept.
Cloud-native engineering experience on Azure, AWS or GCP, with Docker and Kubernetes/OpenShift.
Strong DevOps engineering knowledge including Git, CI/CD, automated testing, release management and environment management.
Understanding of LLMOps/MLOps practices including prompt/model configuration versioning, evaluation, monitoring, observability and controlled deployment.
Strong understanding of enterprise security including authentication/authorization, secrets management, data privacy, secure API integration and responsible AI controls.
Proven experience managing developers, QA and DevOps engineers and driving engineering standards, technical reviews and production readiness.
Strong Agile delivery, estimation, planning, risk/dependency management and stakeholder communication skills.
Demonstrated experience using or enabling AI-assisted development tools responsibly across the software development lifecycle.
Good to have skills-
NET; LangChain; LangGraph; Spring AI; Semantic Kernel; MCP; Kubernetes/OpenShift; Azure/AWS/GCP; LLMOps/MLOps; AI Evaluation & Observability; Guardrails; Vector Databases & Embeddings; DevOps/CI-CD; Healthcare domain exposure
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
Come join our team—one of the largest IT and business consulting services firms in the world.

Work arrangement
No