GenAI Engineer | LLMs, NLP & Cloud (MLOps)

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 5+ 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

• 5+ 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

• 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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