Devoteam

4 weeks ago

AWS AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior AWS AI Engineer designing, building, and deploying production-grade AI agents and generative AI solutions on AWS. Lead end-to-end delivery across AWS AI stack (Bedrock, Bedrock AgentCore, SageMaker, Q), ensuring scalable, secure production systems, guiding customers, and shaping Devoteam’s AI strategy with robust architecture and MLOps practices.

Location: Belgium

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Customer obsession: act as the go-to AI engineering expert for our key customers, translating business challenges into production-ready agentic AI solutions and supporting pre-sales, solutioning, and proof-of-value engagements.
•AI Agent Development: design, build, and ship autonomous and multi-agent systems in production using Amazon Bedrock and Bedrock AgentCore, with frameworks such as Strands Agents, LangGraph, or CrewAI—covering tool use, orchestration, memory, identity, and human-in-the-loop patterns.
•Generative AI & Model Engineering: select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines; apply prompt engineering and model customization; leverage SageMaker for classical ML models and broader ML lifecycle.
•Architecture & Design: design highly available, scalable, and secure AI architectures on AWS, applying Well-Architected Framework and generative-AI best practices; contribute to AI strategy, reference architectures, and accelerators.
•Production Engineering & LLMOps: operationalize AI agents end-to-end—automated evaluation, guardrails, observability, cost/latency optimization, CI/CD, and IaC (Terraform, CloudFormation, AWS CDK).

Key Requirements

•Bachelor's or Master’s degree in Computer Science, AI/Data Science, Engineering, or related field, or equivalent practical experience.
•4+ years of experience working with cloud platforms, including hands-on experience building and deploying solutions on AWS.
•Proven experience designing, building, and running AI agents or generative AI applications in production.
•Hands-on experience with the AWS AI/ML service stack, including Amazon Bedrock, Bedrock AgentCore, Amazon SageMaker, and Amazon Q.
•Solid understanding of generative AI and agentic concepts: foundation models, prompt engineering, RAG and RAG evaluation, vector databases, tool/function calling, multi-agent orchestration, memory, and AI agent evaluation.

Experience:4+ yearsMachine Learning / AI engineer

Education:Bachelor's in Computer Science, AI/Data Science, Engineering

Skills:CommunicationProblem-solvingStakeholder-managementCollaborationLeadership

Certifications:AWS Certifications

Languages:EnglishDutchFrench

Tech Stack:AWSBedrockBedrock AgentCoreAmazon SageMakerAmazon QLangGraphStrands AgentsCrewAITerraformCloudFormationAWS CDKPythonCI/CDIAMS3LambdaVPCECSEKS

Company Brief

Devoteam

Devoteam is an IT consulting firm specializing in digital transformation, cloud, cybersecurity, and data solutions for enterprise clients across Europe and the Middle East, combining technology partnerships with management consulting services.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Paris, France

Founded: 1995

Website LinkedIn

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Devoteam

4 weeks ago

AWS AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Belgium

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Customer obsession: act as the go-to AI engineering expert for our key customers, translating business challenges into production-ready agentic AI solutions and supporting pre-sales, solutioning, and proof-of-value engagements.
•AI Agent Development: design, build, and ship autonomous and multi-agent systems in production using Amazon Bedrock and Bedrock AgentCore, with frameworks such as Strands Agents, LangGraph, or CrewAI—covering tool use, orchestration, memory, identity, and human-in-the-loop patterns.
•Generative AI & Model Engineering: select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines; apply prompt engineering and model customization; leverage SageMaker for classical ML models and broader ML lifecycle.
•Architecture & Design: design highly available, scalable, and secure AI architectures on AWS, applying Well-Architected Framework and generative-AI best practices; contribute to AI strategy, reference architectures, and accelerators.
•Production Engineering & LLMOps: operationalize AI agents end-to-end—automated evaluation, guardrails, observability, cost/latency optimization, CI/CD, and IaC (Terraform, CloudFormation, AWS CDK).

Key Requirements

•Bachelor's or Master’s degree in Computer Science, AI/Data Science, Engineering, or related field, or equivalent practical experience.
•4+ years of experience working with cloud platforms, including hands-on experience building and deploying solutions on AWS.
•Proven experience designing, building, and running AI agents or generative AI applications in production.
•Hands-on experience with the AWS AI/ML service stack, including Amazon Bedrock, Bedrock AgentCore, Amazon SageMaker, and Amazon Q.
•Solid understanding of generative AI and agentic concepts: foundation models, prompt engineering, RAG and RAG evaluation, vector databases, tool/function calling, multi-agent orchestration, memory, and AI agent evaluation.

Experience:4+ yearsMachine Learning / AI engineer

Education:Bachelor's in Computer Science, AI/Data Science, Engineering

Skills:CommunicationProblem-solvingStakeholder-managementCollaborationLeadership

Certifications:AWS Certifications

Languages:EnglishDutchFrench

Tech Stack:AWSBedrockBedrock AgentCoreAmazon SageMakerAmazon QLangGraphStrands AgentsCrewAITerraformCloudFormationAWS CDKPythonCI/CDIAMS3LambdaVPCECSEKS

Company Brief

Devoteam

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Paris, France

Founded: 1995

Website LinkedIn