What are the responsibilities and job description for the Forward Deployed Engineers position at Tanisha Systems, Inc.?
Forward Deployed Engineers
Minneapolis, MN - (Onsite/Hybrid)
FTE/Full time
Salary: Market
Client: Healthcare payer
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
Minneapolis, MN - (Onsite/Hybrid)
FTE/Full time
Salary: Market
Client: Healthcare payer
Primary Responsibilities:
- Solution Implementation & Delivery
- Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments
- Implement integrations between AI models, APIs, and enterprise healthcare systems
- Translate defined solution designs into high-quality, production-ready code
- Contribute to end-to-end delivery by supporting development, testing, and deployment activities
- Hands-on Engineering
- Develop solution components using modern programming languages (e.g., Python, Java, SQL) and engineering frameworks
- Work with distributed systems and cloud platforms to support scalable, reliable deployments
- Assist with data preparation, prompt configuration, and model integration for AI-driven solutions
- Troubleshoot and resolve technical issues during development and deployment
- Client Delivery Support
- Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations
- Support technical discussions and working sessions with client stakeholders
- Help execute on defined project plans, timelines, and deliverables
- Contribute to iterative development cycles, incorporating client and team feedback
- Collaboration & Translation
- Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions
- Translate technical requirements into actionable development tasks
- Communicate progress, risks, and technical considerations clearly within the team
- Support alignment between technical implementation and client expectations
- Documentation & Knowledge Transfer
- Document solution components, integration points, and deployment processes
- Support knowledge transfer to client technical teams to enable adoption and sustainability
- Contribute to reusable implementation patterns, assets, and playbooks
- Success Measures
- Delivers high-quality solution components that meet performance, reliability, and security expectations
- Contributes effectively to end-to-end client delivery efforts
- Demonstrates strong execution in translating requirements into working systems
- Communicates clearly within teams and supports client delivery activities
- Builds capability in both technical implementation and client engagement over time
- Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teams.
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 3 years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
- 2 years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
- Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
- Experience working with APIs, data pipelines, or distributed systems
- Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform)
- Exposure to AI/ML concepts, including LLMs and prompt engineering
- Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
- Demonstrated ability to work effectively in client-facing delivery environments
- Demonstrated solid collaboration skills and ability to operate within structured project teams
- Demonstrated clear communication skills for working with both technical and non-technical stakeholders
- Demonstrated ability to execute against defined requirements and evolving priorities
Preferred Qualifications:
- Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
- Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
- Familiarity with healthcare data considerations (e.g., privacy, compliance)
- Demonstrated solid execution focus with attention to detail and code quality
- Demonstrated ability to work in fast-paced environments with multiple priorities
- Willingness to take ownership of assigned components and deliver reliably
- Continuous learning mindset, particularly in AI and emerging technologies
Salary : $120,000 - $140,000