Senior Software Engineer-AI Engineer

Position Description: We are looking for a Senior/Lead Engineer to design and build scalable cloud-native platforms and AI-driven solutions. The role involves architecting distributed systems, developing microservices-based applications, and deploying AI/ML and Generative AI solutions in production environments. The candidate will lead cloud architecture initiatives, ensure strong DevOps and MLOps practices, and collaborate with cross-functional teams to deliver secure, scalable, and high-performance enterprise applications.

Your future duties and responsibilities Lead end-to-end design and development of scalable cloud-native products from ideation, PoC, pilot to production rollout. Architect and implement distributed systems using microservices, APIs, Docker containers, Kubernetes, and CI/CD pipelines. Build, deploy, and optimize AI/ML and Generative AI solutions including LLM-based applications, RAG pipelines, and vector databases.

Implement strong MLOps practices including model lifecycle management, monitoring, versioning, and continuous improvement. Design highly available and resilient systems following 12-factor application principles with autoscaling and cost optimization. Own cloud architecture across AWS, GCP, or Azure ensuring security, performance, and compliance.

Implement observability solutions for logging, monitoring, alerting, and performance tuning. Define and execute deployment strategies such as blue-green and canary releases for zero-downtime deployments. Collaborate with product and business teams to translate requirements into scalable technical solutions.

Mentor engineers and drive engineering best practices. Required qualifications to be successful in this role: Must to Have: Strong experience with cloud platforms (AWS / GCP / Azure) Expertise in microservices architecture and distributed systems Hands-on experience with Docker and Kubernetes Experience with CI/CD pipelines and DevOps practices Experience building AI/ML or Generative AI solutions (LLMs, RAG pipelines, vector databases) Strong knowledge of API development and integration Experience implementing MLOps and model lifecycle management Experience with system monitoring, logging, and observability tools Good to Have Knowledge of 12-factor application design principles Experience with blue-green or canary deployment strategies Experience with cloud cost optimization and performance tuning Exposure to enterprise security and compliance standards Experience mentoring teams and guiding engineering best practices. 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.

Skills: Artificial Intelligence Generative AI Large Language Model (LLM) Machine Learning Python