**Job Summary** Synechron is seeking a capable GenAI Engineer to design, develop, and deploy AI-driven solutions across enterprise platforms. This role combines hands-on GenAI, NLP, and data science work with collaboration across product, engineering, and operations teams to deliver scalable, secure, and production-ready AI-powered solutions. The ideal candidate will drive innovation in generative AI, guide a technical team, and ensure alignment with governance, risk, and compliance requirements while delivering measurable business value. **Software Requirements** **Required Skills (Essential)** - Hands-on experience with Generative AI and large language models (LLMs) such as OpenAI, AWS Bedrock, or equivalent - Strong proficiency in Python for AI development and model integration - Experience with Retrieval-Augmented Generation (RAG) pipelines and serverless or event-driven architectures (e.g., SageMaker + Lambda) - Proficiency with vector databases and embeddings (e.g., Faiss, Pinecone) - Knowledge of AI model deployment on cloud platforms (AWS, Azure, or GCP) and basic MLOps concepts - Experience with AI model governance, data privacy, and security considerations in production - Familiarity with version control (Git) and collaborative development workflows - Understanding of SDLC/ML lifecycle, experimentation, and model evaluation **Preferred Skills** - Experience with containerization (Docker) and orchestration (Kubernetes) for AI services - Exposure to CI/CD pipelines for AI workflows (GitHub Actions, Jenkins, Harness) - Knowledge of model monitoring, bias mitigation, and safety in AI systems - Experience integrating AI solutions with existing enterprise data pipelines and APIs - Familiarity with AI tooling for code generation, data labeling, or automated testing **Overall Responsibilities** - Lead design, development, and deployment of GenAI/AI-driven solutions and autonomous AI workflows - Mentor, guide, and coach junior AI/ML/Data Science team members - Identify, evaluate, and pilot new AI technologies and architectures to improve business processes - Collaborate with cross-functional teams to translate business requirements into scalable AI solutions - Stay current with AI/ML trends, evaluating new techniques and tools for adoption - Ensure governance, risk, and compliance considerations are embedded in AI initiatives - Develop and maintain AI architecture, deployment guidelines, and model governance documentation - Drive continuous improvement of AI delivery, automation, and operational efficiency **Technical Skills (By Category)** **Programming Languages (Essential)** - Essential: Python - Preferred: R, Java, C++ (for integration or performance-critical components) **AI Frameworks & Libraries** - Essential: PyTorch, TensorFlow, Hugging Face Transformers - Preferred: LangChain, SpaCy, OpenAI API usage patterns **Model Development & Deployment** - Essential: Training, fine-tuning, evaluation, and deployment of LLMs; embedding and vector-based retrieval - Preferred: Knowledge of encryption layers, secure model serving, and model governance practices **Cloud & Infrastructure** - Essential: Experience deploying AI models on cloud platforms (AWS, Azure, GCP) - Preferred: Managed AI services (SageMaker, Vertex AI, Azure ML) and multi-cloud deployments **Data Management & Storage** - Essential: Vector databases and data pipelines for AI workloads; data preprocessing and feature engineering - Preferred: NoSQL databases and data warehousing concepts; data lineage and governance **DevOps & MLOps** - Essential: Version control (Git), CI/CD concepts, basic monitoring and alerting for AI pipelines - Preferred: Containerization (Docker), orchestration (Kubernetes), MLOps tools, model monitoring solutions **Security & Compliance** - Essential: Data privacy, security controls, and governance for AI deployments - Preferred: AI safety, bias detection and mitigation, auditability of models **Experience Requirements** - 4–9 years of hands-on experience in AI/ML/Data Science, with 3+ years in GenAI or NLP - Proven track record delivering AI projects in production environments - Experience collaborating with cross-functional teams (product, data science, engineering, security) - Exposure to regulated industries and governance considerations is a plus - Alternative pathways: strong portfolio of GenAI/NLP projects or relevant certifications **Day-to-Day Activities** - Design, train, fine-tune, and deploy GenAI/NLP models and autonomous AI components - Collaborate with product, data, and engineering teams to identify AI use cases and success metrics - Build and maintain AI pipelines (training, inference, monitoring) in cloud environments - Evaluate new AI techniques, tools, and platforms; lead proofs-of-concept - Monitor model performance, detect drift, and implement retraining or adjustments - Maintain comprehensive documentation on model architectures, data pipelines, and deployment steps - Ensure governance, risk, and compliance considerations are integrated into AI initiatives - Mentor junior AI engineers and promote knowledge sharing **Qualifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field - 4–9 years of experience in AI/ML/Data Science with at least 3 years in GenAI/NLP - Certifications in AI/ML, cloud platforms, or ML Ops are advantageous **Professional Competencies** - Strategic and analytical thinking to apply AI to business problems - Strong communication and stakeholder management for technical and non-technical audiences - Leadership and teamwork with ability to mentor peers - Adaptability to evolving AI technologies and regulatory landscapes - Innovation mindset with a focus on scalable, responsible AI solutions - Time management and prioritization in a dynamic, fast-paced environment ***S​******YNECHRON’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. 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