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forward deployed engineer

DATAECONOMYBoston, MA🇺🇸United States

Why this role stands out

As a Forward Deployed Engineer at DATAECONOMY, you will accelerate your career by building cutting-edge Agentic AI solutions and delivering high-impact, custom software directly to clients. This role is perfect for a technically versatile engineer who thrives on solving complex challenges in dynamic environments and wants to be at the forefront of cloud-native innovation. Apply today to leverage your expertise in Python and AWS while making a tangible difference in the future of AI technology.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationBoston, MA, United States

Job description

Job Title: Forward Deployed Engineer
Location: Boston, MA
Job Type: Full-Time

Job Summary:
We are seeking a highly adaptable and technically strong Forward Deployed Engineer to work directly with clients on-site, delivering customized software and AI-driven solutions. This role requires extensive travel (100%) and a unique blend of software engineering, cloud expertise, and client-facing skills. The ideal candidate will have strong experience in Python, AWS technologies, and emerging Agentic AI systems.

Key Responsibilities:

  • Work closely with clients on-site to understand business requirements and translate them into technical solutions
  • Design, develop, and deploy scalable applications using Python and AWS cloud services
  • Build and integrate Agentic AI solutions, including autonomous workflows, LLM-based systems, and intelligent agents
  • Customize and implement cloud-native architectures tailored to client environments
  • Develop APIs, microservices, and data pipelines for real-time and batch processing
  • Troubleshoot and resolve technical issues in production environments
  • Collaborate with internal engineering, product, and data teams to deliver high-quality solutions
  • Ensure best practices in security, scalability, and performance
  • Provide technical guidance, training, and documentation to client stakeholders
  • Continuously gather feedback from client engagements to improve products and solutions

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 6+ years of professional experience in software development or related roles
  • Strong proficiency in Python and AWS Bedrock.
  • Hands-on experience with AWS services (e.g., EC2, S3, Lambda, API Gateway, RDS, IAM)
  • Experience designing and deploying cloud-native applications
  • Practical experience with Agentic AI frameworks, LLM integrations, or AI-driven automation systems
  • Experience with RESTful APIs and microservices architecture
  • Strong debugging, problem-solving, and system design skills
  • Willingness and ability to travel 100% (domestic and/or international)

Preferred Qualifications:

  • Experience with tools/frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar
  • Familiarity with containerization technologies like Docker and Kubernetes
  • Experience with CI/CD pipelines and DevOps practices
  • Exposure to data engineering or MLOps workflows
  • Prior experience in client-facing or consulting roles

Soft Skills:

  • Excellent communication and interpersonal skills
  • Strong adaptability and ability to work in dynamic environments
  • Problem-solving mindset with a proactive approach
  • Ability to manage multiple client engagements effectively

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