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Pune - Hinjewadi (Ascendas), India
Onsite
Job Summary
Synechron is seeking a highly capable AI Engineer to design, build, and deploy AI agents and architecture within CI/CD workflows on AWS. This role combines hands-on AI development with software delivery discipline to create scalable, secure, and production-ready AI-powered solutions. The ideal candidate will collaborate with cross-functional teams, drive innovation in GenAI and NLP, and ensure alignment with governance, risk, and compliance requirements while delivering measurable business value.
Software Requirements
Required Skills (Essential)
Hands-on experience with large language models and generative AI (LLMs) such as OpenAI, AWS Bedrock, or similar
Strong proficiency in Python for AI development and model integration
Experience with Retrieval-Augmented Generation (RAG) pipelines (e.g., SageMaker + Lambda)
Proficiency with MCP server development and tool integrations (where applicable to AI workflows)
Experience building agentic workflows or autonomous AI agents
Exposure to code generation or code fixing using LLMs
Experience with vector databases (e.g., Faiss, Pinecone, or similar)
Good knowledge of AWS services (Lambda, ECS/EKS, S3, API Gateway) and secure deployment
Understanding of application security and vulnerability considerations in AI deployments
Preferred Skills
Knowledge of CI/CD tooling (GitHub, Jenkins, Harness) and security tooling (e.g., Snyk, SonarQube)
Containerization and orchestration experience (Docker, Kubernetes)
Prior work in security automation or remediation systems
Experience with AI governance, bias mitigation, and model safety practices
Overall Responsibilities
Design, develop, and optimize AI models and AI-powered solutions within CI/CD workflows on AWS
Lead the integration of GenAI capabilities into production-ready applications and workflows
Mentor and guide team members, promoting best practices in AI development, MLOps, and responsible AI
Identify, evaluate, and pilot new AI technologies and architectures to improve business processes
Collaborate with product, data, and platform teams to translate business needs into scalable AI solutions
Stay current with the latest AI research and industry trends, incorporating advances into projects
Ensure governance, risk, and compliance considerations are embedded in AI initiatives
Develop and maintain architecture, deployment guidelines, and model governance documentation
Drive continuous improvement of AI delivery, security, and operational efficiency
Technical Skills (By Category)
Programming Languages (Essential)
Essential: Python
Preferred: Java, C++, or other languages for integration or performance optimization
AI Frameworks & Libraries
Essential: PyTorch, TensorFlow, Hugging Face Transformers
Preferred: LangChain, SpaCy, RAG tooling
Model Development & Deployment
Essential: Experience training, fine-tuning, and deploying LLMs; knowledge of embeddings, vectors, and retrieval strategies
Preferred: Knowledge of encryption layers and secure model serving
Cloud & Infrastructure
Essential: AWS (SageMaker, Lambda, S3, IAM, API Gateway, CloudWatch)
Preferred: Azure or GCP equivalents and multi-cloud exposure
Data Management & Storage
Essential: Experience with vector databases and data pipelines; data preprocessing for ML
Preferred: NoSQL databases and data warehousing concepts
DevOps & MLOps
Essential: CI/CD integration for AI workloads; versioning and model management
Preferred: Harness, Jenkins, GitHub Actions, GitLab CI; container orchestration (Docker, Kubernetes)
Security & Compliance
Essential: Data privacy, access controls, and secure AI deployment practices
Preferred: AI governance, bias mitigation, model risk management
Experience Requirements
7+ years of experience in a technology role with a minimum of 3+ years in AI/GenAI development
Demonstrated hands-on experience building and deploying AI/ML solutions in production
Experience collaborating with cross-functional teams (product, data, security, and software engineering)
Exposure to regulated industries and governance considerations is a plus
Alternative pathways: extensive project-based success in GenAI or relevant certifications
Day-to-Day Activities
Design, train, validate, and deploy AI models and autonomous AI components
Collaborate with product managers, data science, and engineering teams to define use cases and success metrics
Integrate AI capabilities into CI/CD pipelines and monitor model performance in production
Evaluate new AI techniques, tools, and platforms; lead proofs-of-concept
Maintain thorough documentation on model architecture, data pipelines, and deployment procedures
Engage in risk and compliance discussions related to AI deployments
Mentor junior AI engineers and promote knowledge sharing
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
Certifications in AI/ML, cloud platforms (AWS, Azure, GCP), or ML Ops are a plus
Ongoing commitment to professional development in AI, ML, and responsible AI practices
Professional Competencies
Strategic and analytical thinking for applying AI to business problems
Strong communication and stakeholder management for technical and non-technical audiences
Leadership and teamwork with ability to mentor and influence peers
Adaptability to evolving AI technologies and regulatory landscapes
Innovation mindset with a focus on scalable and safe AI solutions
Time management and prioritization in fast-paced environments
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.