Job Description
Job Summary
Synechron is seeking a capable and innovative GenAI Engineer to design, develop, and deploy Generative AI solutions across enterprise platforms. This role blends hands-on GenAI, NLP, and data science with cross-functional collaboration to build scalable, secure, and production-ready AI-powered applications. The ideal candidate will advance GenAI initiatives, mentor teammates, 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, model integration, and data processing
Expertise with Retrieval-Augmented Generation (RAG) pipelines and serverless/event-driven architectures (e.g., SageMaker + Lambda)
Proficiency with vector databases and embeddings (e.g., Faiss, Pinecone)
Knowledge of deploying AI models 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 the SDLC/ML lifecycle, experimentation, and model evaluation
Preferred
Containerization (Docker) and orchestration (Kubernetes) for AI services
CI/CD pipelines for AI workflows (GitHub Actions, Jenkins, Harness)
Model monitoring, bias mitigation, and safety in AI systems
Integration of AI solutions with existing enterprise data pipelines and APIs
AI tooling for code generation, data labeling, or automated testing
Overall Responsibilities
Design, develop, and optimize GenAI/AI-driven solutions and autonomous AI workflows
Lead implementation, deployment, and governance of AI models within CI/CD pipelines on cloud platforms
Mentor and guide junior AI engineers, 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 requirements into scalable AI solutions
Stay current with AI/ML trends and industry developments; translate insights into actionable plans
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 & Preferred)
Essential: Python
Preferred: R, Java, or C++ for integration or performance optimization
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; embeddings and vector-based retrieval
Preferred: Encryption layers, secure model serving, 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
Preferred: NoSQL databases and data warehousing concepts; data lineage and governance
DevOps & MLOps
Essential: Version control (Git), CI/CD concepts, basic monitoring for AI pipelines
Preferred: Containerization (Docker), orchestration (Kubernetes), MLOps tools, model monitoring platforms
Security & Compliance
Essential: Data privacy, model security, and governance for AI deployments
Preferred: AI safety, bias detection/mitigation, auditable model governance
Experience Requirements
4–9 years in AI/ML/Data Science with at least 3 years in GenAI/NLP
Proven experience delivering AI/ML solutions 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 architecture, 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 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 MLOps are advantageous
Professional Competencies
Strategic thinking and analytical problem-solving for AI applications
Clear 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
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.