AI Solutions Architect, AI COE

Deltek, Inc
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$124,500.0 - $219,500.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Data as a Services Machine Learning Automation of Marketing Search Technologies Software Engineering Data Streaming Systems Integration Google Cloud
+9 more
Large Language Models Multi-Agent Systems Generative AI Build Management AI Platforms Information Technology Production Code Low-code Virtual Agents

Job description

Ready to build AI solutions that reach production? As an AI Solutions Architect (Forward Deployed) within Deltek’s AI Center of Excellence, you’ll design, develop, and ship AI-enabled solutions across Deltek’s systems and business workflows-from multi-agents, MCP, A2A, RAG, Vector DB, AI Search, guardrails, along with Agentic AI frameworks, automations and integrations. The AI COE sits at the intersection of enterprise strategy and hands-on execution, and this role is where that execution happens. You’ll work directly with business and technical teams to translate real problems into AI solutions that are secure, scalable, and built to last. This is a hands-on builder role: you design and build reusable AI frameworks, write code, deliver working AI systems, and establish the technical patterns that others will follow. You’ll also serve as a technical reviewer in the AI solution approval process, evaluating solutions developed across the enterprise against enterprise standards for security, scalability, and governance. This role reports to the Senior Director, AI Solutions.

Key Responsibilities

  • Design, build, and deploy end-to-end AI solutions aligned to business use cases-agents, automations, and workflow integrations-across Deltek’s platforms and systems

  • Write production-quality code, configure tools, and develop directly using enterprise AI platforms, APIs, and data services; move solutions from prototype to production

  • Define data flows, integration points, and operational requirements that meet enterprise standards for security, performance, and reliability

  • Establish development standards, reusable patterns, and best practices that accelerate AI solution development across business and technical teams

  • Contribute to the design and build of enterprise AI platforms, including integration, orchestration, and deployment components

  • Execute technical reviews of AI solutions developed by business teams, assessing alignment with enterprise architecture, security, and governance standards, and providing clear, actionable guidance

  • Partner with governance teams to translate AI policies into technical controls and apply them consistently through the review process

  • Work directly with business stakeholders to identify, shape, and deliver high-value AI use cases; serve as the bridge between operational need and technical execution

Requirements

  • 8-12+ years of experience in software engineering, solution architecture, or systems integration, with significant recent experience (3+ years) building and deploying Agentic AI, Gen AI or AI/ML solutions in production environments

  • Demonstrated hands-on experience developing AI solutions using a range of modern technologies including LLMs, SLMs, RAG, multi-agent frameworks, MCP, A2A, Vector DB, AI Search, generative AI platforms or copilot architectures

  • Strong command of APIs, enterprise integrations, and data workflows; able to design and implement end-to-end data flows across complex system landscapes

  • Proven track record defining development standards or establishing technical best practices adopted by other teams

  • Demonstrated experience reviewing or guiding AI solutions built by developers or business teams, with the ability to identify risk and communicate technical findings clearly to non-technical stakeholders

  • Excellent communication skills with the ability to work fluidly across technical teams and business functions Preferred Qualifications

  • Experience contributing to or building enterprise AI platforms or shared technical services
  • Familiarity with AI governance, responsible AI practices, and security considerations in production AI environments
  • Experience working across both technical and citizen developer communities, including low-code or automation platforms
  • Advanced degree in Computer Science, Engineering, or a related technical field
  • Certifications in cloud platforms (AWS, Azure, Google Cloud Platform) or AI/ML specializations

Benefits & conditions

The U.S. salary range for this position is $124,500.00-$219,500.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity.

Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:09 min

Defining low-code systems and determining their ideal use cases

Halil İbrahim Kalkan Halil İbrahim Kalkan · WWC Europe 2026

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · WWC 2024

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

3:35 min

Governing generated low-code applications via deterministic process engines

Kerstin Stier Kerstin Stier · Europe 2026 Virtual

Videos

See all

Related articles

See all