GenAI Solution Architect / Lead GenAI Engineer

Job description

Position Description:

Company Profile:

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title: GenAI Solution Architect / Lead GenAI Engineer
Position: Lead Analyst
Experience: 6 Plus
Category: Software Development
Main location: Bangalore
Position ID: J1025-1909
Employment Type: Full Time

Your future duties and responsibilities:

Job Summary:
We are seeking a highly skilled and innovative GenAI Solution Architect / Lead AI Engineer to design, develop, and optimize Generative AI applications and system architectures. The ideal candidate will have extensive experience in Python, Azure Cloud services, and LLM frameworks (such as vLLM). This role requires a strong foundation in system design, performance optimization (throttling, queuing, refactoring), and the ability to architect scalable AI solutions that deliver real-world business impact.
 
Key Responsibilities:
 
Architecture & Design

. Design and implement end-to-end GenAI solutions using Azure OpenAI Services, Azure Machine Learning, and related Azure AI offerings.
. Create scalable and modular architectures for Generative AI systems, integrating LLMs and prompt orchestration frameworks (e.g., LangChain, Semantic Kernel).
. Define system design patterns and ensure alignment with performance, reliability, and security standards.
. Develop and maintain reference architectures and best practices for GenAI solution design and deployment.

Development & Implementation

. Build, fine-tune, and deploy LLM-based applications using frameworks such as vLLM, Hugging Face Transformers, or PyTorch.
. Implement throttling, caching, and queuing mechanisms to optimize performance and manage compute resource utilization.
. Lead code refactoring and optimization efforts to enhance efficiency, maintainability, and scalability.
. Integrate APIs, data pipelines, and vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) into GenAI workflows.

Collaboration & Mentorship

. Collaborate with data scientists, cloud engineers, and product teams to translate business problems into GenAI-driven solutions.
. Mentor junior developers on AI application design, coding standards, and architecture principles.
. Participate in code reviews, solution walkthroughs, and performance tuning sessions.

 
Required Skills & Experience:
 
Technical Expertise

. Strong proficiency in Python with hands-on experience in building and optimizing AI/ML pipelines.
. Experience with Azure Cloud Platform, including services such as Azure OpenAI, Azure Machine Learning, Azure Functions, and Azure Kubernetes Service (AKS).
. Deep understanding of LLMs and inference optimization using vLLM, DeepSpeed, or similar frameworks.
. Expertise in throttling, queuing systems, and asynchronous processing architectures (Celery, Kafka, RabbitMQ, Azure Service Bus, etc.).
. Experience with code refactoring, performance tuning, and scalable software design principles.
. Familiarity with vector databases, embedding models, and prompt engineering.

 
Preferred Skills

. Experience with LangChain, Semantic Kernel, or similar orchestration frameworks.
. Knowledge of containerization (Docker) and orchestration (Kubernetes).
. Understanding of MLOps, CI/CD pipelines, and monitoring for AI applications.
. Experience integrating multi-modal AI components (text, image, or speech) in GenAI systems.

Required qualifications to be successful in this role:

 Qualifications:

. Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
. 6+ years of experience in software development, with at least 2+ years in GenAI solutioning.
. Proven experience in designing and deploying AI solutions on Azure Cloud.

 
Other Skills

. Communication and Collaboration: Clearly explain complex AI concepts to diverse audiences, including non-technical stakeholders. Work effectively with cross-functional teams like data scientists, engineers, and product managers to align on project goals.
. Leadership and Strategic Thinking: Guide and mentor project teams while translating business requirements into a coherent technical vision. Design scalable, robust, and cost-effective AI systems and architectures.
. Problem-Solving and Critical Thinking: Analyze complex challenges to devise innovative AI solutions. Critically evaluate AI outputs for accuracy, relevance, and potential issues, and troubleshoot problems within the AI pipeline.
. Adaptability and Continuous Learning: Maintain a strong commitment to lifelong learning to stay current with the rapid evolution of AI technologies, tools, and best practices. Quickly adapt strategies and solutions as the field progresses.
. Ethical and Responsible AI: Champion ethical AI development by proactively identifying and mitigating biases in models and data. Prioritize data privacy, security, and the creation of transparent and fair AI systems.

Skills:

·  Linux
·  SQLite

What you can expect from us:

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.

Come join our team—one of the largest IT and business consulting services firms in the world.