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Ai Solutions Jobs (NOW HIRING)

MJMC, Inc.

AI Solutions Specialist

Homewood, IL · On-site +1

$60K - $80K/yr

AI Solutions Specialist The AI Solutions Specialist supports the Lanco AI Labs initiative by translating real business problems into practical, deployable AI solutions. This role offers hands-on ...

DLRdmv

AI Solutions Specialist

Dallas, TX · On-site

AI Solutions Specialist Location: Dallas, TX DLRdmv™ creates and deploys innovating Title & Registration technology and Governmental Compliance solutions to the Automotive Industry. DLRdmv offers ...

Atkore

AI Solutions Engineer

Mokena, IL · On-site

AI Solutions Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able ...

Lanco

AI Solutions Specialist

Homewood, IL · On-site

$60K - $80K/yr

AI Solutions Specialist The AI Solutions Specialist supports the Lanco AI Labs initiative by translating real business problems into practical, deployable AI solutions. This role offers hands-on ...

DLRdmv

AI Solutions Specialist

Dallas, TX · On-site

AI Solutions Specialist Location: Dallas, TX DLRdmv™ creates and deploys innovating Title & Registration technology and Governmental Compliance solutions to the Automotive Industry. DLRdmv offers ...

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 ...

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Ai Solutions information

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How much do ai solutions jobs pay per hour?

As of Jul 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.

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 are AI Solutions?

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.
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Ai Solutions jobs near you
Infographic showing various Ai Solutions job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,888 per year, or $56.7 per hour.
AI Solutions Architect

AI Solutions Architect

NAVA Software Solutions

Greenwood Village, CO • On-site

$62.25 - $82/hr

Full-time

Re-posted 16 days ago

Job description

NAVA Software solutions is looking for an AI Solutions Architect
Details:
AI Solutions Architect
Location: Denver CO, Onsite
Duration: 12 months
Role Summary
The team is looking for an AI Coach. Someone that the team (PhD and DS staff) can come to for guidance on which model(s) should be used to start building a solution based on the business use case. They are looking for someone that is so experienced (20-30 models they have built), that they can recommend which models to use for the use case, because they have enough experience to say things like "GPT 3.0 and the Claud Model is better for this use case because of XYZ". The reason the client is looking for this role is to expedite the development process. Instead of trying to build something 4 times using 4 different models (trial by error), they are looking for a resource that can help the team shorten the development life cycle by starting them off in a better direction from the onset (build it 1-2 times vs. 4-5) to get to the end solution.
  • Strong expertise in AI/ML, including deep learning, NLP, LLMs, and RAG - No less than 4 years
  • Proven experience architecting and delivering end-to-end AI solutions in cloud environments Azure, AWS, GCP
  • Able to define the right technical direction, architecture, and solution approach for enterprise AI initiatives
  • Strong understanding of scalable AI design, integration, deployment, and operationalization
  • Excellent communication skills with the ability to guide both technical teams and business stakeholders
  • Ideal profile is a strategic technical leader who can steer the team toward the right long-term AI/ML direction

What You'll Do
Own the AI Blueprint
  • Design end to end architectures that connect data, models, APIs, and UIs across CRM, contact center, and customer operations platforms (WFM, field service, ticketing).
  • Design shared decisioning and GenAI services (NBO/NBA, agent assistance, RAG, rules engines) so all channels reuse the same logic and deliver consistent offers, actions, and responses.
  • Ensure architectures are human centric, keeping humans in the loop with clear controls to accept, adjust, or override AI suggestions.

Deliver High Impact AI Experiences
  • Architect NBO/NBA and personalization solutions for sales, retention, and service across voice, chat, digital, and field channels in partnership with stakeholders and vertical development teams.
  • Help design agent assistance experiences (e.g., recommended actions, offers, and real time coaching) that help agents and supervisors make better decisions.
  • Help design conversational AI and agentic solutions for IVR, voicebots, chatbots, and digital messaging, as well as knowledge search and summarization, leveraging frameworks such as LangChain / LangGraph where applicable.

Optimize Operations at Scale
  • Design AI solutions for sales effectiveness, customer operations efficiency and customer experience, dispatch optimization, appointment scheduling, and truck roll reduction.
  • Drive automation of back office flows (order fallout, provisioning exceptions, billing investigations, service assurance).
  • Use contact center data and analytics (interaction data, routing, handle time, outcomes) to continuously tune and improve AI and automation solutions.

Lead Data, Governance & Reliability
  • Define canonical data models, semantic layers, and KPIs so analytics and AI all use a single source of truth.
  • Ensure secure, compliant data pipelines (PII, CPNI, PCI) and robust monitoring for performance, drift, and cost.
  • Implement responsible AI practices (safety, fairness, explainability) and enforce reuse of shared models, rules, and prompts so products do not diverge in answers or behaviors.

Influence Across the Enterprise
  • Align peer Solutions Architects on common AI patterns and platforms across Care, Sales, Network, and Operations.
  • Partner with PMO, Product, and vertical development teams to turn architectures into epics and user stories, sequence work, and drive delivery through agile sprints (planning, refinement, reviews, demos).
  • Translate complex AI concepts into simple, business focused narratives for senior and executive stakeholders, including those without technical backgrounds, enabling clear decisions.
  • Provide thought leadership and mentoring to engineers, analysts, and architects; advocate for consistent, reusable patterns across teams.

What You'll Bring
Experience
  • 8+ years in solution architecture, software engineering, or data engineering, with 4+ years delivering production AI/ML or advanced analytics.
  • Background in telecom, cable, broadband, or other high volume customer service environments is a strong plus.
  • Experience with contact center data & analytics (voice, chat, IVR, routing, quality/performance metrics) is preferred.
  • Familiarity with CCaaS applications and architectures (e.g., Genesys, Five9, Amazon Connect, NICE, Cisco, or similar) is a plus.

AI & Engineering Skills
  • Strong ML/AI proficiency (machine learning, deep learning, NLP, GenAI); hands on experience with agentic frameworks (e.g., LangChain, LangGraph or similar) is preferred.
  • Proficiency in major languages (Python, .NET, Java, SQL, Scala) and modern APIs/microservices for Fortune 100 scale enterprise systems.
  • Experience with containers and cloud native patterns (Docker, Kubernetes, serverless, event driven architectures).
  • Experience designing conversational AI solutions (IVR, voicebots, chatbots, digital assistants) is a plus.

Cloud, Data & Platform
  • Technology agnostic mindset with hands on experience across major clouds; ability to choose the right platform or technology for the problem, including vendor selection.
  • Practical experience with one or more of: Azure, AWS, GCP, especially their data & AI services.
  • Familiarity with modern data platforms such as Databricks, Snowflake, Redshift, and building pipelines (batch/streaming) using Kafka/Event Hubs or similar.
  • Solid data engineering fundamentals: data modeling, performance tuning, and governance.

Leadership & Communication
  • Proven ability to influence horizontally in a matrixed environment and align multiple vertical architecture teams.
  • Exceptional communication skills: you reduce complex architectures into clear, concise visuals and narratives for senior executives and non technical stakeholders.
  • Strategic mindset with the ability to define AI roadmaps and drive cross functional execution.

Preferred Certifications
  • AWS Certified Solutions Architect
  • Microsoft Azure Solutions Architect Expert
  • TOGAF
  • AI/GenAI certifications (e.g., Agentic AI Business Solutions Architect, Azure AI Engineer)
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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