Senior AI Engineer

Gigsremote; Union (NJ); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in AI consulting is seeking a Senior AI Engineer for a B2B contract role. You will lead the deployment of innovative AI solutions, working closely with clients to meet their business goals and requirements. This full-time position is project-based with the potential for long-term collaboration.

Qualifications

• 5+ years experience in cloud solution architecture.
• Proven AI/ML solutions design and implementation experience on AWS.
• Strong communication skills for stakeholder engagement.

Responsibilities

• Lead design, deployment, and integration of AI solutions.
• Architect hands-on end-to-end AI solutions on AWS.
• Provide post-deployment support to customers.

Skills

Cloud solution architecture

AI/ML solutions

Python

Communication skills

Tools

AWS (SageMaker, Bedrock, etc.)

Terraform

Docker

Job description

1 month ago Be among the first 25 applicants

GigsRemote connects trusted companies with top tech contractors from Central and Eastern Europe, bringing them together to work on IT projects of varying complexity and duration. Our aim is to create an ongoing opportunity for gig talent allowing them to work from any location and set their own work-life balance focusing on projects they feel passionate about.

For one of our clients, we are looking for a Senior AI Engineer on B2B contract.

Our client is a cutting-edge Generative AI consulting and solutions company focused on helping businesses securely, cost-effectively, and profitably adopt AI technologies. Their AWS cloud-based solutions enable enterprise-grade automation and AI-driven decision-making using the latest in Large Language Models (LLMs), Retrieval-Augmented Generation, and conversational agents.

They are seeking a Senior AI Solution Engineer to lead the design, deployment, and integration of our AI solutions into customer environments. Reporting directly to the CTO, you will act as the key technical AI implementation person, facing our enterprise clients. You will play a central role in interpreting customer business requirements and translating them into scalable, secure, and maintainable cloud-based AI architectures.

In this role you will:

• Work directly with clients to understand their business goals, technical needs, and integration
• requirements,
• Architect and implement hands-on end-to-end AI solutions on AWS, including infrastructure, security, data pipelines, model orchestration, and monitoring,
• Customize and deploy company's solutions for a variety of use cases such as customer service automation, knowledge retrieval, and process optimization,
• Ensure solutions meet enterprise-grade security, compliance, and performance standards,
• Provide post-deployment support and guidance to customers during the project and for a period afterwards to ensure adoption,
• Document architecture, decisions, and reusable assets to accelerate future deployments.

You need to have:

• 5+ years of experience in cloud solution architecture, preferably in a consulting or enterprise customer-facing role,
• Proven experience designing and implementing AI/ML solutions on AWS, including services such as SageMaker, Bedrock, Lambda, API Gateway, ECS, S3, IAM, Step Functions and CloudFormation or Terraform,
• Solid understanding of LLMs, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, FAISS), hierarchical object databases (eg Neo4G) and agentic frameworks, such as LangGraph,
• Proficiency in Python and familiarity with Rust, Go,
• Experience integrating with ML libraries and APIs (eg Microsoft GraphQL),
• Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code,
• Strong communication and interpersonal skills — able to translate technical concepts for nontechnical stakeholders,
• Ability to code effectively through the use of coding assistants, such as Claude Code, OpenAI Codex or Amazon Q.

It would be great if you also have:

• AWS Certified Solutions Architect (Professional or Associate),
• Experience with AI governance, model evaluation, and prompt engineering best practices,
• Prior experience deploying enterprise AI/LLM solutions in the Energy or Telecoms sector,
• Experience with data integration, ETL pipelines, and API development,
• Background in enterprise software development and systems integration.

This is a mid-term project on a full-time B2B contract, with potential to extend to long-term. Only contractors based in Europe will be considered.

If you are interested, apply here or register on our website and our Talent Advisor will get in touch with you to discuss further process.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  Information Services

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