Senior AI Engineer | Atlanta, GA (Hybrid)

Compunnel; Atlanta (GA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Compunnel is seeking a highly experienced Senior AI Engineer to join our technology team in Atlanta, GA on a hybrid work mode basis. You will architect, build, and scale advanced AI systems, generative AI applications, and conversational AI frameworks using AWS Bedrock, MCP, and Bedrock AgentCore.

The role requires 10+ years of software engineering and AI development experience, with hands‑on Python development, API design, and multi‑agent workflow orchestration.

Qualifications

• 10+ years of software engineering experience with AI specialization.

Responsibilities

• Design, architect, and deploy enterprise-grade AI systems, ML models, and conversational AI solutions.
• Build, scale, and maintain AI agent workflows using AWS Bedrock, MCP, and Bedrock AgentCore.
• Develop Python backend services and automation scripts.
• Design and integrate RESTful APIs and microservices to connect AI models with enterprise systems.
• Create NLP and conversational interfaces for user engagement.
• Collaborate with data engineering and DevOps to optimize resource usage and model latency.
• Ensure data privacy, AI governance, and security compliance.
• Mentor junior engineers and conduct code reviews.

Skills

Python

AWS Bedrock

MCP

Bedrock AgentCore

API design

Generative AI

Conversational AI

Leadership

AI governance

Security compliance

Education

Bachelor's degree

Job description

Position Summary

We are seeking a highly experienced Senior AI Engineer to join our technology team in Atlanta, GA on a hybrid work mode basis. In this pivotal technical leadership role, you will be responsible for architecting, building, and scaling advanced artificial intelligence systems, generative AI applications, and conversational AI frameworks. You will leverage cutting-edge cloud infrastructure including AWS Bedrock, Model Control Protocols (MCP), and Bedrock AgentCore to deliver transformative enterprise solutions. This opportunity requires a senior technical professional with 10+ years of software engineering and AI development experience who is local to Atlanta, GA and available for an in-person interview.

Detailed Job Description

As a Senior AI Engineer, you will take full ownership of designing and deploying robust AI architectures, intelligent agent systems, and custom machine learning pipelines. Your day-to-day responsibilities include developing core algorithms and services in Python, integrating enterprise APIs, and building scalable conversational AI platforms. You will work extensively with AWS Bedrock, Bedrock AgentCore, and MCP frameworks to orchestrate multi-agent workflows and cloud-native AI models. Furthermore, you will collaborate closely with cross-functional product, data engineering, and software development teams to optimize model performance, ensure robust security, and drive high-impact AI transformation initiatives from concept to production.

Key Responsibilities

• Design, architect, and deploy enterprise-grade artificial intelligence systems, machine learning models, and conversational AI solutions.
• Build, scale, and maintain advanced AI agent workflows utilizing AWS Bedrock, Model Control Protocols (MCP), and Bedrock AgentCore.
• Develop high-performance backend services, automation scripts, and application logic primarily using Python.
• Design and integrate robust RESTful APIs and microservices architectures to connect AI models with enterprise systems.
• Create sophisticated natural language processing and conversational AI interfaces for enhanced user engagement.
• Collaborate with data engineering and DevOps teams to optimize cloud resource utilization and model inference latency.
• Ensure strict adherence to data privacy, AI governance, and enterprise security compliance standards.
• Mentor junior engineers, establish best practices in AI development, and conduct thorough code reviews.

Required Qualifications & Skills

• Minimum of 10 years of professional software engineering experience, with significant specialization in artificial intelligence and machine learning development.
• Extensive hands-on programming expertise in Python.
• Proven practical experience building and deploying generative AI solutions using AWS Bedrock, MCP, and Bedrock AgentCore.
• Strong technical mastery of API design, integration, and conversational AI framework development.
• Must be local to Atlanta, GA and fully available for required in-person interviews and hybrid work arrangements.
• Strong problem-solving, analytical, and cross-functional collaboration skills.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
• Demonstrated ability to lead technical projects from conception through to production deployment.

Nice-to-Have Skills

• Advanced degree (Master’s or Ph.D.) in Artificial Intelligence, Computer Science, or a quantitative engineering field.
• Prior experience with vector databases (e.g., Pinecone, Milvus, Qdrant) and advanced Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with containerization and orchestration platforms such as Docker and Kubernetes.
• Contributions to open-source AI frameworks or published research in machine learning and conversational AI.
• Experience operating within agile, fast-paced enterprise IT consultancy or client-facing environments.

Recruitment Pro Tip

When applying for this Senior AI Engineer role, ensure your resume explicitly highlights your hands-on experience with AWS Bedrock, MCP, and Bedrock AgentCore. Explicitly confirm your local residency in Atlanta, GA and your availability for an in-person interview right at the top of your cover note or resume.

Salary/Rate: Market Competitive / Full-Time Standard

Contract Duration: Permanent / Full-Time

Notice Period: Immediate to 30 Days

Deadline: Open until filled