Program Director

Virtusa; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Virtusa in Maharashtra, India seeks a Senior Technical Manager to lead AI-focused programs and drive technology strategy across cross-functional teams. You will steer large-scale AI projects from conception through deployment, mentoring engineers, data scientists, and DevOps professionals to ensure scalable, production-grade solutions.

The role emphasizes AI strategy, program delivery, and cloud/DevOps infrastructure, with responsibility for aligning roadmaps to business goals and managing

Qualifications

• 10+ years in software engineering, AI, and program management.
• Strong leadership of cross-functional teams and stakeholder mgmt.
• Hands-on experience with AI model development, MLOps, and cloud infrastructure.

Responsibilities

• Lead end-to-end delivery of large-scale AI initiatives and guide project delivery across teams.
• Align technical roadmaps with business goals and expectations.
• Oversee agile planning, budgeting, risk management, and release processes.

Job description

Senior Technical Manager with 10+ years of experience in software engineering, project management, and AI implementation. You will lead cross-functional teams, drive AI-powered product lifecycles, and bridge the gap between technical execution and business strategy to deliver scalable enterprise solutions. Role Overview Position: Senior Technical Manager - AI & Program Management Experience: 10+ years in tech, including 4+ years in management Core Focus: AI strategy, program delivery, and cloud/DevOps infrastructure Key Responsibilities Manage end-to-end delivery of large-scale AI and machine learning initiatives. Lead and mentor software engineers, data scientists, and DevOps professionals.Align technical roadmaps with business goals and stakeholder expectations. Oversee agile planning, resource allocation, risk management, and budgeting. Drive best practices in AI model development, deployment, and MLOps pipelines. [1] Technical Stack Requirements AI & Machine Learning: Python, PyTorch, TensorFlow, Scikit-learn, OpenAI API, Hugging Face, LangChain. Cloud Infrastructure: AWS (SageMaker, EC2, S3), Microsoft Azure (Azure AI, AKS), or GCP (Vertex AI). DevOps & MLOps: Docker, Kubernetes, Terraform, CI/CD pipelines (GitHub Actions, GitLab CI), MLflow, Kubeflow. Data Engineering: SQL, Apache Spark, Kafka, Snowflake, or Databricks. [1, 2, 3, 4, 5] Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Deep technical background in AI, LLMs, machine learning, and cloud-native systems. Proven track record of managing complex technical programs using Agile frameworks. Strong communication skills with experience presenting to executive stakeholders. Hands-on familiarity with designing scalable DevOps and automated release processe