Artificial Intelligence Engineer

AI Engineer

Job Summary

Synechron is hiring an AI Engineer to design and implement AI agents and AI architecture within CI/CD workflows on AWS. This role will help improve engineering efficiency, support secure software delivery, and enable scalable AI-driven automation across development processes.

Software Requirements

Required

• Python – 6+ years of hands-on development experience

• LLMs / GenAI platforms – experience with OpenAI, Amazon Bedrock, or similar

• AWS services – hands-on knowledge of Lambda, SageMaker, S3, API Gateway, ECS and/or EKS

• RAG pipeline engineering – including implementation using SageMaker + Lambda

• MCP server development and tool integrations

• Experience building agentic workflows or autonomous AI agents

• Experience with code generation / code fixing using LLMs

• Experience with vector databases

• Understanding of application security and vulnerabilities

Preferred

• Exposure to CI/CD tools such as GitHub, Jenkins, Harness, or similar

• Familiarity with security tools such as Snyk, SonarQube, or similar

• Knowledge of Docker and Kubernetes

• Experience in security automation or remediation systems

Overall Responsibilities

• Design and build AI agents and AI-enabled workflows for engineering use cases

• Develop scalable AI solutions on AWS for CI/CD and automation needs

• Build and optimize RAG pipelines and retrieval workflows

• Integrate LLMs into code generation, code fixing, and developer support use cases

• Develop MCP servers and tool integrations

• Support secure implementation by considering application vulnerabilities and remediation workflows

• Collaborate with engineering, DevOps, platform, and security teams

• Deliver reliable, maintainable, and production-ready AI solutions

Technical Skills (By Category)

Programming Languages

Essential: Python
Preferred: Scripting experience for automation and cloud environments

Databases / Data Management

Essential: Vector databases, document retrieval, indexing, embeddings
Preferred: Knowledge of data governance and retrieval optimization

Cloud Technologies

Essential: AWS, including Lambda, SageMaker, S3, API Gateway, ECS/EKS
Preferred: Cloud cost optimization and observability practices

Frameworks and Libraries

Essential: LLM / GenAI integration frameworks, RAG components, agent orchestration patterns
Preferred: Evaluation, monitoring, and guardrail tooling

Development Tools and Methodologies

Essential: MCP development, AI agents, software development lifecycle practices
Preferred: CI/CD platforms, Docker, Kubernetes, MLOps exposure

Security Protocols

Essential: Secure coding practices, application security, vulnerability awareness
Preferred: Security scanning and remediation automation tools

Experience Requirements

• 6+ years of experience in software engineering, AI engineering, or related roles

• Hands-on experience with Python-based AI development

• Experience building LLM / GenAI solutions, RAG pipelines, and agentic workflows

• Experience deploying solutions on AWS

• Preferred experience in DevOps, platform engineering, CI/CD, or security automation environments

• Equivalent combinations of software engineering, AI, cloud, or automation experience will also be considered

Day-to-Day Activities

• Build and maintain AI agents, APIs, and workflow components

• Develop and improve RAG pipelines and tool integrations

• Support code generation and remediation use cases using LLMs

• Work with cloud and DevOps teams to integrate AI into CI/CD workflows

• Participate in design reviews, sprint planning, and technical discussions

• Create documentation, deployment artifacts, and implementation standards

• Troubleshoot performance, reliability, and security issues

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field

• Equivalent practical experience may be considered

• Preferred certifications in AWS, AI/ML, cloud, Kubernetes, or security

• Commitment to continuous learning in AI, cloud, and secure engineering practices

Professional Competencies

• Strong analytical and problem-solving skills

• Ability to work collaboratively across technical teams

• Clear written and verbal communication

• Ability to manage priorities and deliver against timelines

• Adaptability to evolving tools, technologies, and business needs

• Focus on practical innovation and measurable outcomes

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

Experience Level

Senior Level