Forward Deployed Engineer — AI Agents & Enterprise Deployment
About the role
About Echos
Echos is an enterprise AI implementation partner working with Fortune 50 companies across pharma, insurance, and banking, building across the leading enterprise platforms including AWS, Microsoft Azure, Palantir Foundry, Databricks, and Anthropic. We were recently recognized by the World Economic Forum as one of the world's AI first enterprises. We embed with our clients to solve their hardest problems, turning cutting edge AI into production systems that create real business impact.
The Role
We are hiring Forward Deployed Engineers (FDEs) to work directly with one of our leading pharmaceutical clients. This is a hands on, client facing engineering role for people who love building. You will design and deploy AI agents on real enterprise data, work shoulder to shoulder with the client's teams, and own solutions from prototype to production.
FDEs are our most versatile engineers: part builder, part problem solver, part trusted advisor. If you want your code in production solving problems that matter, at the frontier of applied AI, this is the role.
What You Will Do
Design, build, and deploy AI agents on enterprise data, taking them from concept to production
Work on site and embedded with the client's teams to understand their problems and deliver solutions
Build on open source and frontier models, fine tuning and orchestrating them for real world enterprise use cases
Architect and deploy solutions across leading enterprise platforms, including AWS, Microsoft Azure, Palantir Foundry, and Databricks, leveraging their AI and data services
Translate ambiguous business problems into working technical solutions, fast
Communicate clearly with both technical and non technical stakeholders, from engineers to executives
Iterate rapidly based on client feedback, balancing speed with production grade quality
What We Are Looking For
Proven experience building AI agents, ideally on open source or frontier models (for example Llama, Mistral, Anthropic Claude, or similar), including agent orchestration, tool use, and multi step reasoning
Hands on experience deploying and running AI and data workloads on at least one major cloud or enterprise platform (AWS, Azure, Palantir Foundry, or Databricks), with the ability to work across more than one
Strong software engineering fundamentals (Python and modern AI and ML frameworks)
Excellent communication skills, able to work directly with clients, explain complex ideas simply, and build trust with senior stakeholders
A builder's mindset, comfortable with ambiguity, biased toward action, and able to own a problem end to end
Experience deploying AI and ML systems in production enterprise environments
Bonus Points
Depth in one or more of AWS (SageMaker, Bedrock), Azure (Azure ML, Azure OpenAI, AKS), Palantir Foundry, or Databricks
Experience in regulated industries (pharma, life sciences, healthcare, finance) and an understanding of compliance, data governance, and security
Familiarity with RAG, fine tuning, and evaluation of LLM applications
Prior consulting or client facing delivery experience
Why Join Echos
Work at the frontier of applied enterprise AI, with Fortune 50 clients on problems that matter
Real ownership, your work goes straight into production
Learn and build across the best platforms in the industry, AWS, Azure, Palantir, Databricks, and Anthropic
Join a fast growing, WEF recognized AI company with room to grow as we scale
Compensation range: $150K to $275K base salary, plus variable and other benefits
Responsibilities
- Design, build, and deploy AI agents on enterprise data
- Work on site and embedded with the client's teams
- Build on open source and frontier models for enterprise use cases
- Architect and deploy solutions across leading enterprise platforms
- Translate ambiguous business problems into working technical solutions
- Communicate clearly with both technical and non-technical stakeholders
- Iterate rapidly based on client feedback
Qualifications
- Proven experience building AI agents
- Hands on experience deploying AI and data workloads on major cloud platforms
- Strong software engineering fundamentals in Python and modern AI frameworks
- Excellent communication skills
- A builder's mindset, comfortable with ambiguity
- Experience deploying AI and ML systems in production environments
Benefits
- Real ownership of work that goes straight into production
- Opportunity to learn and build across top industry platforms
- Growth opportunities in a fast growing AI company
Skills mentioned
About Echos
At Echos, we help enterprises harness frontier technologies and deliver intelligence at scale. Grounded in strong foundations and powered by proven AI acceleration assets, implementation expertise, and trusted partnerships, we transform deep tech into measurable impact – driving ROI today while shaping the enterprise of tomorrow.