Ai software Engineer (Forward Deployed Engineers)


TEKEngineersInc
Dice Job Match Score™
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Job Details
Skills
- Data Science
- Development Testing
- Disk Encryption
- Health Care
- Knowledge Transfer
- FOCUS
- Customer Facing
- Generative Artificial Intelligence (AI)
- Good Clinical Practice
- Machine Learning (ML)
- Microsoft Azure
- Production Engineering
- Computer Science
- Collaboration
- Programming Languages
- Prototyping
- Customer Engagement
- Google Cloud Platform
- Privacy
- Productivity
- Amazon Web Services
- Artificial Intelligence
- Regulatory Compliance
- Revenue Management
- Attention To Detail
- Communication
- Python
- SQL
- Software Engineering
- Utilization Management
- Workflow
- Cloud Computing
- gen ai
Summary
- 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.
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 6+ 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
- 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 technologie
- Dice Id: PTP88pCqqBqe0nD
- Position Id: 174
- Posted 1 hour ago
Company Info
About TEKEngineersInc
Founded in 2010, TEKEngineers stands out as a prominent global IT services and solutions company. Our core focus revolves around delivering comprehensive enterprise digital transformation and modernization solutions spanning diverse business verticals. Collaborating closely with our clients, we drive innovation, reimagine workflows, and facilitate transformative experiences, enabling businesses to maintain a competitive edge in today's dynamic landscape.
Within TEKEngineers, we actively cultivate an entrepreneurial mindset among our employees, encouraging them to thrive. Our commitment to inclusivity, integrity, and providing opportunities for promising growth underscores our pledge to accelerate your career within an environment that values both personal and professional development.


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