Principal Field Solution Engineer

Cognizant

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$200,000–$250,000 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $225k
$130k $263k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $169,550–$225,125 — the blue band above. At the midpoint, this role pays about $225k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 397 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 262 roles with salary data.

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At a glance

TL;DR · Principal Field Solution Engineer

The Principal Field Solution Engineer serves as the technical anchor for the Engineering platforms portfolio, including Flowsource, Neuro AI Engineering, Neuro IT Operations, and Skygrade. This role involves partnering with sales and account teams to lead enterprise platform pursuits from qualification to close. Key responsibilities include conducting technical discovery, designing solution architectures, building tailored demonstrations, and driving proofs of concept to de-risk adoption. The successful candidate will utilize expertise in the AI-infused Software Development Lifecycle, Agent Development Lifecycle, and cloud modernization. Required skills include proficiency with hyperscalers like AWS, Microsoft, and Google, alongside AI-native providers like Anthropic and NVIDIA. The role solves complex engineering, AI, and cloud operations challenges by translating technical capabilities into demonstrable business outcomes through managed-services and outcome-based models.

What you'll do

  • Lead the technical win for enterprise platform deals from initial qualification through to commercial closing.
  • Conduct technical discovery to map client engineering, AI, and cloud challenges to specific platform solutions.
  • Design and present solution architectures that integrate platforms with existing client tooling and hyperscaler footprints.
  • Build and deliver tailored demonstrations and drive proofs of concept to de-risk platform adoption.
  • Articulate commercial value by quantifying productivity, cost, and time-to-market benefits for various service models.
  • Respond to technical sections of RFPs and RFIs to shape credible and defensible solution proposals.
  • Represent the platform portfolio at major industry events and in cloud-marketplace partner motions.
  • Capture field feedback and client requirements to influence the internal product engineering roadmap.

What we're looking for

  • Must have 20+ years of experience in software, AI, digital, and cloud engineering.
  • Must have 5+ years of experience in advisory-led technical conversations with senior engineers and C-suite technology leaders.
  • Must have at least 2+ years of hands-on experience across the AI-infused Software Development Lifecycle (SDLC) and Agent Development Lifecycle (ADLC).
  • Must have experience as a software or platform product engineer, such as a solutions engineer, developer advocate, or solution architect.
  • Must possess working knowledge of hyperscaler ecosystems (AWS, Microsoft, Google) and AI-native providers (Anthropic, OpenAI, NVIDIA).
  • Must have excellent communication and storytelling skills to translate technical capabilities into clear business outcomes.
  • Must be willing to travel to client sites, studios, and industry events as required.
  • Hyperscaler or relevant professional certifications (solutions architect, DevOps, ML/AI, security) (preferred).

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