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Ai Solutions Jobs (NOW HIRING)

NinjaTech AI

AI Solutions Architect

San Francisco, CA · On-site

$80K - $120K/yr

We attach an AI Solutions Architect 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 ...

HomeServe

AI Solutions Architect

Norwalk, CT · On-site

$63.25 - $83.25/hr

The AI Solutions Architect is a leadership role integrating strategic technology planning, solution architecture, and enterprise architecture across all areas of the business. This role is ...

CEI

AI Solutions Architect

Pittsburgh, PA · Remote

$61.25 - $80.50/hr

AI Solutions Architect Location: Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred) Compensation: Competitive, based on experience Employment Type: W2 only. No C2C ...

Compunnel

AI Solutions Architect

San Diego, CA · On-site

$67 - $88/hr

The AI Solutions Architect will identify high-value AI use cases, assess technical feasibility through client workshops, develop prototypes and proofs of concept, lead pilot implementations, and ...

HomeServe USA

AI Solutions Architect

Norwalk, CT · On-site

$63.25 - $83.50/hr

The AI Solutions Architect is a leadership role integrating strategic technology planning, solution architecture, and enterprise architecture across all areas of the business. This role is ...

Rempli

AI Solutions Architect

Miami, FL · On-site

$150K - $170K/yr

AI Solutions Architect We work with organizations adopting AI at scale-and we're looking to connect with AI Solutions Architects who can design systems that actually work in real business ...

HomeServe

AI Solutions Architect

Norwalk, CT · On-site

$125K - $167K/yr

The AI Solutions Architect is a leadership role integrating strategic technology planning, solution architecture, and enterprise architecture across all areas of the business. This role is ...

AKIVA AI, LLC

$46.50 - $61.25/hr

AKIVA is an AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure from strategy through deployment. We build innovative ...

Inland Imaging

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours hybrid at the Inland Imaging Business Center downtown Spokane. Summary: The AI Solutions Engineer will ...

Inland Imaging

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our ...

Mines

The AI Solutions Manager is a member of the AI Acceleration team within the Information Technology department at Mines and serves as the primary customer-facing intake, engagement, adoption, and ...

New

Mines

AI Solutions Manager

Golden, CO · On-site

The AI Solutions Manager is a member of the AI Acceleration team within the Information Technology department at Mines and serves as the primary customer-facing intake, engagement, adoption, and ...

New

Divergent

AI Solutions Engineer

Torrance, CA

Purpose We are looking for an AI Solutions Engineer who not only builds cuttingedge generativeAI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and ...

Hillwood

AI Solutions Engineer

Dallas, TX · On-site

The AI Solutions Engineer will partner closely with AI Business Solutions Engineers, division stakeholders, IT architecture, security, data teams, and governance groups to transform approved AI ...

AArete

AI Solutions Leader

Chicago, IL · On-site

AI Solutions Leader AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm, with offices in the U.S., India, and the U.

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How much do ai solutions jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai solutions in the United States is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $67.31 per hour, depending on experience, location, and employer.

What is an AI solution?

AI Solutions refer to the application of artificial intelligence technologies to solve specific business problems or improve processes. These solutions use machine learning, natural language processing, computer vision, and other AI techniques to automate tasks, analyze data, make predictions, and enhance decision-making. AI Solutions can be tailored for various industries such as healthcare, finance, retail, and manufacturing, helping organizations increase efficiency and gain insights from large datasets. Implementing AI Solutions often involves identifying business needs, selecting the right technologies, and integrating them with existing systems.

What key skills and qualifications are essential to thrive as an AI solutions specialist, and why are they important?

To thrive as an AI Solutions Specialist, a solid background in computer science, data analysis, and machine learning principles—often supported by a relevant degree—is essential. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and cloud platforms is typically required, with certifications in these areas being highly valued. Strong problem-solving abilities, effective communication, and the ability to translate complex technical concepts for stakeholders make candidates stand out. These skills enable professionals to design, implement, and communicate impactful AI solutions that drive business value.

How do AI solutions professionals typically collaborate with cross-functional teams in a business setting?

AI Solutions professionals often work closely with departments such as IT, product development, and business operations to identify challenges that can be addressed with AI technologies. They facilitate communication between technical experts and non-technical stakeholders, ensuring that AI initiatives align with business objectives. Regular meetings, project updates, and collaborative planning sessions are common, and effective teamwork is essential for successful AI deployment and adoption across the organization.

What is the easiest AI solutions job to get into?

Entry-level AI solutions roles such as AI support technician or data annotation specialist are generally the easiest to enter, often requiring basic technical skills, familiarity with AI tools, and minimal formal education. These positions typically involve tasks like data labeling, troubleshooting, or assisting with AI model development, making them accessible for beginners with some understanding of programming or machine learning concepts.

What jobs can I get working with AI?

Jobs working with AI include roles such as AI engineer, machine learning engineer, data scientist, AI researcher, and NLP specialist. These positions typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch, often with relevant certifications or advanced degrees. AI professionals work in industries like technology, healthcare, finance, and automotive to develop and implement intelligent systems.
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Ai Solutions jobs near you
Infographic showing various Ai Solutions job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $117,888 per year, or $56.7 per hour.

AI Solutions Architect

San Francisco, CA • On-site

NinjaTech AI
Internet and IT • 11 - 50 employees
Learn more about NinjaTech AIexternal

$80K - $120K/yr

Full-time

Medical, Dental, Vision

Re-posted 21 days ago

Key responsibilities

  • Embed with enterprise customers to rapidly learn their operations and data, and stand up initial production agent workflows.

  • Wire the platform into customer systems, build custom automations, prompts, tools, and guardrails tailored to their needs.

  • Serve as the technical representative, translating customer requirements into architecture and platform solutions, and drive adoption and expansion.

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 AI Solutions Architect 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 AI Solutions Architect. We attach an AI Solutions Architect 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 AI Solutions Architect 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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