If you’re new to Invovia, this is where to start. Every FDE relationship begins in one of these three shapes, and it’s fine not to know which one you need yet. Most first calls end with us pointing you at one of these based on what you actually described, not what sounded most impressive.
A focused 3–4 week engagement where an FDE diagnoses your situation and produces an implementation-ready roadmap: architecture & tech-debt assessment, SDLC friction map, AI opportunity scorecard, phased roadmap, executive summary, and a follow-up Q&A session.
Best for: Evaluating options, or an independent second opinion.
FDEs work inside your team for 3 to 12 months, delivering outcomes while building your team’s capabilities in parallel. Typical workstreams include AI/LLM integration, SDLC acceleration, architecture modernization, and platform engineering, reviewed quarterly and adjusted to what matters most.
Best for: A clear transformation objective with an existing team to build on.
An Invovia FDE team takes ongoing accountability for a function, whether that’s AI-AMS, platform engineering, continuous modernization, or agentic AI operations, with monthly business reviews and a real-time dashboard. We give a minimum 6-month transition-out notice, and there’s no lock-in.
Best for: Capability without building and maintaining the team internally.
Our most confident clients re-engage. Most relationships that start with a Discovery Sprint expand into an Embedded Partnership, and many Embedded Partnerships graduate into Managed Capability as trust and scope grow.
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Recommendations come from experience, not pitch decks. They spend their first week writing code, not creating decks.
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Deep modernization history in financial services, healthcare, enterprise software.
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With SOC 2, HIPAA, PCI-DSS, and FedRAMP handled at the architecture level.
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We work alongside your team, not in a parallel track. Your standups, your code reviews, your repository, our accountability.
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Defined before we start, tracked transparently. Monthly metrics review, no surprises in month four.
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FDEs pair on the hardest problems, so best-practice transfer happens in the code, not in a training deck.
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We select the right stack for your context.
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We tell you the truth even when it’s inconvenient.
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Most clients work with us across multiple engagements.
“Invovia didn’t just deliver our roadmap, they left our engineers noticeably stronger than they found them.”
What we look for in every role:
Embedded inside enterprise client teams, owning workstreams end to end.
Full-time – Pleasanton, CA / Remote
LLM integration, RAG systems, agent frameworks, production AI infrastructure.
Full-time · Remote
Cloud-native infrastructure for AI-native teams, covering Kubernetes, multi-cloud, and GitOps.
Full-time · Remote
No vendor deck, no pitch. Tell us the problem and we’ll give you a straight answer about whether and how we can help.