GenAI Engineer | LLMs & AWS

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

• Bachelors or Masters 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

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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