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

• 49 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

• Bachelors or Masters degree in Computer Science Data Science AI or related field

• 49 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

SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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