Synechron · Pune - Hinjewadi (ascendas)Prepare for this interview
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Job Summary Synechron is seeking an accomplished Project/Program Manager specializing in GenAI initiatives to drive enterprise-level AI projects from inception through execution and deployment. The role involves managing cross-functional technical teams, engaging stakeholders, and ensuring successful delivery of proof-of-concept, pilot, and production solutions. This position plays a key role in aligning AI-driven strategies with organizational objectives, fostering innovation, and ensuring compliance with industry standards. The ideal candidate will leverage strategic leadership and technical oversight to maximize value from GenAI investments and support Synechron's digital transformation efforts. Software Requirements Required Skills: Proven expertise in managing complex AI/ML projects, specifically GenAI models like large language models, transformers, embeddings, and Retrieval-Augmented Generation (RAG) techniques Experience with DevOps, automation, and infrastructure tools supporting AI deployment (e.g., CI/CD, containerization) Familiarity with project management tools such as Jira, Confluence, or equivalent Strong understanding of AI/ML enterprise lifecycle, including data privacy, security, and compliance standards Ability to interpret and communicate technical details around GenAI model architecture and deployment to both technical and non-technical stakeholders Preferred Skills: Knowledge of cloud platforms supporting GenAI, such as AWS, Azure, or GCP Experience with AI model governance, bias mitigation, and encryption layers Familiarity with AI automation tools and frameworks supporting rapid development cycles Overall Responsibilities Lead end-to-end GenAI project lifecycle, including planning, execution, delivery, and monitoring of PoCs, prototypes, and production solutions Manage diversified technical teams across data science, engineering, and DevOps, fostering collaboration and best practices Engage with internal and external stakeholders to define project scope, requirements, and success metrics Develop project roadmaps, ensure on-time delivery, and manage risks and dependencies proactively Oversee technical implementation, including AI model fine-tuning, deployment, and scaling in cloud environments Drive automation and operationalization of GenAI workflows, supporting ongoing model monitoring and maintenance Ensure compliance with data privacy, security standards, and ethical guidelines in AI deployment Conduct research on emerging GenAI techniques and integrate best practices into ongoing projects Advocate for continuous learning and knowledge sharing across teams and leadership Technical Skills (By Category) Programming Languages & Frameworks: Required: Python (expert level), familiarity with AI frameworks such as PyTorch, TensorFlow, or similar Preferred: C++, Java, or other languages supporting high-performance AI deployment Model Development & Optimization: Large Language Models (GPT, BERT, etc.), Embeddings, RAG, model fine-tuning, transfer learning, and encryption layers Cloud & Infrastructure: Deployment on AWS SageMaker, Azure Machine Learning, GCP Vertex AI, with experience managing cloud resources for AI workloads DevOps & Automation: CI/CD pipelines (Jenkins, GitLab CI), containerization (Docker), orchestration (Kubernetes), MLOps tools Data & Security: Knowledge of data privacy standards (GDPR, CCPA), model auditing, bias mitigation, encryption, secure API practices Tools & Collaboration: Jira, Confluence, Slack, Git, monitoring tools (Prometheus, Grafana, cloud-native solutions) Experience Requirements 10+ years in project/program management within technology environments, with at least 1+ years in GenAI or advanced AI projects Demonstrable experience leading AI/ML initiatives in enterprise contexts, from PoC to production Proven experience in managing cross-disciplinary teams including data scientists, engineers, and DevOps professionals Familiarity with cloud deployment, automation, and model governance practices Industry experience in finance, healthcare, or customer-centric sectors supporting AI innovation is preferred Day-to-Day Activities Oversee planning, implementation, and delivery of GenAI projects aligned with business goals Facilitate collaboration among data scientists, engineers, DevOps, and business stakeholders Manage dependencies, risks, and issues proactively to ensure project success Review technical architecture, and guide teams on best practices for model fine-tuning, deployment, and automation Monitor operational performance, and optimize AI workflows for scalability and compliance Conduct regular project status reporting, including risks, milestones, and outcomes Drive innovation by researching latest AI/ML advancements and recommending new solutions
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