Innovaccer Analytics
Healthcare
4210-ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“4210-Forward Deployed Engineer at Innovaccer Analytics. Skills: AI-powered solutions, AI-agent architectures, Internal tools, Enterprise AI adoption. Partner with teams to identify opportunities. Convert opportunities into solutions”
What You'll Achieve.
Convert use cases into working solutions; Ship production-grade internal tools; Improve speed across teams; Improve quality across teams; Improve leverage across teams; Reduce manual effort; Improve decision-making; Scale repeatable work; Accelerate agent development
Industry & Context.
Understand ambiguous business problems; Break down problems into workflows; Convert business problems into technical designs; Solve business problems with AI; Troubleshoot agent reliability
What They're Looking For.
Must Have
3-7 years software engineering experience, Undergraduate degree in CS, Engineering, or Math, Hands-on experience building applications, APIs, or automations, Understanding of system design, APIs, databases, authentication, integrations, Ability to work with ambiguous business requirements, Ability to collaborate with non-technical stakeholders, High agency, speed, and ownership, Comfort working across teams and functions
Nice to Have
Prior experience in Forward Deployed Engineer role, Prior experience in Solutions Engineer role, Prior experience in Founding Engineer role, Prior experience in Platform Engineer role, Prior experience in AI Engineer role, Experience with agent frameworks, Experience with orchestration tools, Experience with AI development platforms, Experience with enterprise workflow tools, Experience with CRMs, Experience with data platforms, Experience with business applications, Experience building internal tools, Experience building automation systems, Familiarity with healthcare data, Familiarity with SaaS platforms, Familiarity with enterprise data models, Familiarity with regulated environments, Understanding of AI system evaluation, Understanding of AI system monitoring, Understanding of AI system quality assurance, Prior exposure to platform-led product development, Prior exposure to building applications on extensible platforms
What You'll Do.
Partner with teams to identify opportunities
Convert opportunities into solutions
Understand complex operational processes
Convert processes into problem statements
Convert processes into system designs
Convert processes into technical workflows
Build workflow automations
Build internal applications
Rapidly prototype solutions
Iterate based on user feedback
Design agent architectures
Retrieve agent context
Trigger agent workflows
Complete business tasks reliably
Collaborate with stakeholders
Move prototypes into solutions
Evaluate build-vs-buy options
Recommend technical approaches
Create reusable components
Create reusable templates
Create reusable prompts
Create reusable connectors
Create reusable playbooks
Ensure solutions have data privacy
Ensure solutions have security
Ensure solutions have reliability
Ensure solutions have observability
Ensure solutions have responsible AI
Act as internal evangelist
Demonstrate possibilities
Help teams adopt AI-native ways
Stay close to AI ecosystem
How You'll Work.
Team & Collaboration
Business teams; Operations teams; Product teams; Engineering teams; Functional teams; Data teams; Security teams; Business stakeholders; Finance teams; People teams; Leadership teams
Communication Scope
Document requirements; Document architecture; Document trade-offs; Document implementation plans; Simplify technical concepts
Full Job Description
**About the Role** As a Forward Deployed Engineer you will work closely with business, operations, product, and engineering teams to identify high-impact internal use cases and convert them into working AI-powered solutions. This is not a traditional backend or application engineering role. You will operate like a builder, consultant, product thinker, and systems engineer rolled into one. You will understand ambiguous business problems, break them down into solvable workflows, design AI-agent architectures, and ship production-grade internal tools that improve speed, quality, and leverage across teams. You will work with Innovaccer’s internal systems, data assets, workflow tools, and platform capabilities — including Gravity — to build agents and automations that can help teams reduce manual effort, improve decision-making, and scale repeatable work. The ideal candidate has strong engineering fundamentals, a builder’s mindset, and a deep curiosity for how AI agents can transform enterprise operations. Prior experience with Innovaccer’s Gravity platform is not required. What matters more is your ability to understand platforms, build on top of them, and rapidly translate business context into reliable technical solutions. This is a high-impact role for someone who wants to be at the frontier of enterprise AI adoption. **A Day in the Life** * Partner with internal business and functional teams to identify opportunities for agentification, workflow automation, and AI-assisted decision-making * Understand complex operational processes across teams and convert them into structured problem statements, system designs, and technical workflows. * Build AI agents, copilots, workflow automations, and internal applications on top of Innovaccer’s platform capabilities, including Gravity, APIs, data systems, and enterprise tools. * Rapidly prototype solutions using LLMs, agent frameworks, APIs, databases, and internal platforms, and iterate based on user feedback. * Design agent
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