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Contract Applied Intelligence Jobs in California

NinjaTech AI

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

Why NinjaTech AI We are building the unmetered intelligence workforce: autonomous AI agents that do ... Why this role exists When we close a large enterprise deal, the contract is the start of the hard ...

Harvey

Applied Legal Researcher

San Francisco, CA · On-site

... success criteria • Deep intellectual curiosity and eagerness to learn across domains • ... with research, document review, and contract analysis. Founded in 2022, the company is ...

OpenAI

Data Scientist, GTM Intelligence

San Francisco, CA · On-site

$290K - $340K/yr

... data contracts, and operating decision products as you are evaluating a ranking approach or ... Significant experience in applied Data Science, analytics engineering, machine learning, or a ...

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Contract Applied Intelligence information

What is contract applied intelligence?

Contract Applied Intelligence refers to the application of advanced technologies, such as artificial intelligence (AI) and machine learning, to the management, analysis, and optimization of contracts within an organization. Professionals in this field help automate contract review, extraction of key data, compliance checking, and risk analysis. The goal is to improve efficiency, reduce errors, and ensure organizations get the most value from their contractual agreements. This role is often found in legal, procurement, and compliance departments, leveraging AI tools to streamline traditionally manual processes.

What are the key skills and qualifications needed to thrive as a contract applied intelligence professional, and why are they important?

To thrive as a Contract Applied Intelligence professional, you typically need expertise in data analysis, business consulting, and a background in fields such as computer science, engineering, or analytics, often complemented by a relevant bachelor’s or master’s degree. Familiarity with analytics platforms (like Power BI, Tableau), programming languages (such as Python or R), and certifications in AI or data science are commonly required. Strong problem-solving, communication, and stakeholder management skills help professionals translate complex insights into actionable business strategies. These skills and qualifications are crucial for delivering data-driven solutions that enhance decision-making and create value for clients.

How does a contract applied intelligence professional typically collaborate with cross-functional teams within an organization?

As a Contract Applied Intelligence professional, you will frequently work with cross-functional teams, such as IT, data science, business development, and legal departments. Your role often involves gathering requirements, translating business needs into analytical solutions, and ensuring that insights are actionable for various stakeholders. Clear communication and adaptability are essential, as you may need to explain complex analytical concepts to non-technical colleagues and work under tight deadlines to deliver project milestones. Building strong relationships across teams can help drive successful project outcomes and open doors for future collaboration.
What are the most commonly searched types of Applied Intelligence jobs in California? The most popular types of Applied Intelligence jobs in California are:
What are popular job titles related to Contract Applied Intelligence jobs in California? For Contract Applied Intelligence jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Applied Intelligence jobs in California look for? The top searched job categories for Contract Applied Intelligence jobs in California are:
What cities in California are hiring for Contract Applied Intelligence jobs? Cities in California with the most Contract Applied Intelligence job openings:
Contract Applied Intelligence jobs near you
Infographic showing various Contract Applied Intelligence job openings in California as of June 2026, with employment types broken down into 40% Full Time, 9% Part Time, and 51% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Applied AI Engineer

NinjaTech AI

San Francisco, CA • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision

Posted 14 days ago

Job description

Why NinjaTech AI
We are building the unmetered intelligence workforce: autonomous AI agents that do real, end-to-end work for enterprises instead of just answering questions. Since founding in 2022 we have gone from research to agents running production workloads inside real companies, on secure, isolated infrastructure, backed by SRI International, DCVC, and Candou Ventures. This is a small, senior team moving at startup speed on one of the most consequential problems in technology, and the Applied AI Engineer sits at the sharpest edge of it: your work lands in front of real customers in weeks, not quarters, and directly shapes how the world's most demanding enterprises adopt agentic AI. If you want the shortest possible line between what you build and the outcomes it creates, this is a rare seat.
Why this role exists
When we close a large enterprise deal, the contract is the start of the hard part, not the end. The customer has bought an outcome, an "unmetered intelligence workforce" doing real work inside their business, and someone has to make that outcome real, fast, inside their systems, their security constraints, and their messy data. That someone is the Applied AI Engineer. We attach an Applied AI Engineer to every large enterprise account. They embed with the customer, build the first high-value agentic workflows on our platform, and own technical success from kickoff through go-live and expansion. The Applied AI Engineer is how a signed contract becomes a renewed and expanded one.
What you'll own
  • Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their operations and data, and stand up the first production agent workflows on NinjaTech in weeks, not quarters.
  • Build custom, tailored solutions. Wire our platform into the customer's real systems (their data sources, identity, ticketing, CRMs, internal APIs) and build the bespoke automations, prompts, tools, and guardrails that make agents useful for their jobs-to-be-done.
  • Be the technical face of NinjaTech in the room. Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language.
  • Drive adoption and expansion. A deployment that isn't used doesn't renew. Instrument usage, hunt for the next high-value workflow, and turn a beachhead into an org-wide rollout. Your success metric is customer outcomes that drive net revenue retention.
  • Clear enterprise gauntlets. Own the technical side of security review, isolated-VM/data-residency requirements, SSO/SCIM, SOC 2 / DPA questionnaires,and procurement's technical due diligence.
  • Close the loop to Product. You see what breaks in the field first. Feed sharp, prioritized signal back to core engineering; occasionally upstream a fix or a reusable component so the next deployment is faster.

What we require
  • Engineering background. You're a genuine builder. Proficient in Python and at least one of TypeScript/JavaScript, Java, or Go; comfortable across data plumbing, APIs, and a bit of front-end when a demo needs it.
  • Genuine curiosity about agentic AI and LLM systems: prompt/tool design, evals, orchestration, guardrails, and the failure modes of agents in production. You don't need to have built them at scale, but you should be hungry to.
  • Data fluency. You can wrangle messy, large-scale, real-world data and reason about storage, pipelines, and cloud infrastructure.
  • Executive presence and operator empathy. You can hold a credible technical conversation with a CTO and sit with a frontline user to understand their actual workflow. You listen before you build.
  • Bias to ship. You move with speed and precision, iterate with users, and are energized (not frustrated) by evolving objectives.
  • Willingness to travel up to ~25% to customer sites, and to be onsite in the Bay Area with the core team.

What we value (nice-to-haves)
  • Experience integrating into regulated or security-sensitive enterprise environments (isolated VMs, on-prem/VPC, SOC 2, HIPAA, FedRAMP-adjacent).
  • Prior forward-deployed / solutions-engineering / delivery experience at an enterprise-software or infra company.
  • A track record of turning a first deployment into a much larger footprint.

Compensation & logistics
  • Base range $80K to $120K depending on level and experience, plus meaningful equity and a delivery/expansion-linked bonus.
  • Onsite in the Bay Area with the core team; ~25% travel to customer sites.
  • Full benefits (medical / dental / vision, etc.).

Equal opportunity
NinjaTech AI is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment.

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