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
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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