GenAI Engineer - Bengaluru

Only for registered members Bengaluru, India

2 days ago

Default job background
₹1,200,000 - ₹3,500,000 (INR) per year *
* This salary range is an estimation made by beBee
Founded in 1976, CGI is among the world's largest independent IT and business consulting services firms. With 94,000 consultants and professionals globally, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, man ...
Job description
Founded in 1976, CGI is among the world's largest independent IT and business consulting services firms.

With 94,000 consultants and professionals globally, 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

Your future duties and responsibilities


Job Title:
GenAI Engineer


Position:

SSE
Experience: 3+ years of experience in software development, with at least 2+ years in GenAI solutioning

Job location:
Bangalore / Chennai / Hyderabad


Position ID:

J

Work Type:
Hybrid


Employment Type:
Full Time / Permanent

Qualification:
Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.


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
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.

Required Qualifications To Be Successful In This Role


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.


Qualifications:
Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
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.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation.

Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

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.

Gen AI

Job Description

Job Title:
GenAI Solution Architect / Lead GenAI Engineer


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.


Qualifications:
Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
5+ 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.

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

Ensemble, en tant que propriétaires, mettons notre savoir-faire à l'œuvre.

La vie chez CGI est ancrée dans l'actionnariat, le travail d'équipe, le respect et un sentiment d'appartenance. Chez nous, vous pourrez exploiter votre plein potentiel parce que…


Nous vous invitons à devenir propriétaire dès le jour 1 alors que nous travaillons ensemble à faire de notre rêve une réalité.

C'est pourquoi nous nous désignons comme associés de CGI, plutôt que comme employés.

Nous tirons profit des retombées de notre succès collectif et contribuons activement à l'orientation et à la stratégie de notre entreprise.

Votre travail crée de la valeur.

Vous élaborerez des solutions novatrices et développerez des relations durables avec vos collègues et clients, tout en ayant accès à des capacités mondiales pour concrétiser vos idées, saisir de nouvelles opportunités, et bénéficier d'une expertise sectorielle et technologique de pointe.

Vous ferez évoluer votre carrière en vous joignant à une entreprise bâtie pour croître et durer.

Vous serez soutenus par des leaders qui ont votre santé et bien-être à cœur et qui vous permettront de saisir des occasions afin de parfaire vos compétences et élargir les horizons.


Joignez-vous à nous, l'une des plus importantes entreprises de conseil en technologie de l'information (TI) et en management au monde.



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