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
- Bachelor's or Master's 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
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.
Candidate Application Notice
