Senior Solutions Architect (AI)

at Deltek

Senior Solutions Architect (AI)

Deltek

Company

Home

Senior Solutions Architect (AI)

at Deltek

Posted by Harsha Mehrotra

5 - 8 yrs

Best in industry

Remote only

Skills

Solution architecture

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

Python

.NET

Key Responsibilities

AI Architecture & Solution Design

Design end-to-end AI solution architectures, including:
Generative AI and LLM-based systems
Retrieval-Augmented Generation (RAG) pipelines
Agentic and multi-agent workflows
Define reference architectures and best practices for AI-enabled features within enterprise products.
Ensure AI solutions integrate seamlessly with existing applications, data, and cloud architectures.

AI Integration & MCP Servers

Design and implement Model Context Protocol (MCP) servers to securely expose tools, APIs, and data to AI agents.
Define standards for tool interfaces, access control, auditing, and safety guardrails.
Enable product teams to onboard AI tools and capabilities using reusable, scalable integration patterns.

Agentic AI & Workflow Enablement

Architect AI-driven workflows that support collaboration between humans and AI agents.
Design AI-to-AI (A2A) and AI-to-system interaction patterns.
Ensure agent behaviors are deterministic, explainable, and aligned with enterprise requirements.

Hands-On Development & Prototyping

Build proofs-of-concept and production-ready implementations using Python and/or TypeScript.
Rapidly validate ideas from ideation to deployment.
Establish reusable frameworks, libraries, and CI/CD pipelines for AI development.

AI Governance, Quality & Safety

Implement guardrails to minimize hallucinations, unsafe actions, and data leakage.
Define evaluation and monitoring strategies for AI systems, including prompt regression and RAG accuracy checks.
Ensure AI solutions comply with enterprise security, privacy, and governance standards.

Developer Enablement & Collaboration

Partner with Product, Engineering, QE, Performance, and Security teams to deliver AI capabilities.
Mentor teams on AI design patterns, tooling, and best practices.
Contribute to internal AI communities through demos, documentation, and knowledge sharing.

Qualifications :

Required Qualifications

Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
Demonstrated expertise in cloud‑native system design, distributed architectures, and enterprise‑scale integrations.
Proven ability to architect and implement AI-enabled systems, including integrating Large Language Models (LLMs) into production-grade software.
Strong ownership of architectural decisions, technical direction, and solution delivery across complex, cross-functional initiatives.
Hands-on experience applying security, observability, and automation best practices within enterprise environments.
6–10 years of experience in software architecture and distributed systems.
5+ years of experience building Generative AI or LLM-based solutions.
Practical experience designing and implementing:
Retrieval-Augmented Generation (RAG) architectures
Agentic AI systems
Tool-calling frameworks and AI integration layers
Proficiency in Python and/or .Net/TypeScript/Node.js.
Experience working with major cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).

Preferred Qualifications

Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
Familiarity with Model Context Protocol (MCP) or equivalent AI tool-integration frameworks.
Experience applying AI engineering practices beyond prototyping, including evaluation, reliability, and scalability considerations.
Ability to translate ambiguous business problems into clear technical architecture and execution plans.
History of influencing technical standards and mentoring senior engineers or architects.
Experience with vector databases, embeddings, and retrieval optimisation.
Experience building AI-enabled developer tooling and CI/CD pipelines.
Prior experience in enterprise SaaS environments.

Key Responsibilities

AI Architecture & Solution Design

Design end-to-end AI solution architectures, including:
Generative AI and LLM-based systems
Retrieval-Augmented Generation (RAG) pipelines
Agentic and multi-agent workflows
Define reference architectures and best practices for AI-enabled features within enterprise products.
Ensure AI solutions integrate seamlessly with existing applications, data, and cloud architectures.

AI Integration & MCP Servers

Design and implement Model Context Protocol (MCP) servers to securely expose tools, APIs, and data to AI agents.
Define standards for tool interfaces, access control, auditing, and safety guardrails.
Enable product teams to onboard AI tools and capabilities using reusable, scalable integration patterns.

Agentic AI & Workflow Enablement

Architect AI-driven workflows that support collaboration between humans and AI agents.
Design AI-to-AI (A2A) and AI-to-system interaction patterns.
Ensure agent behaviors are deterministic, explainable, and aligned with enterprise requirements.

Hands-On Development & Prototyping

Build proofs-of-concept and production-ready implementations using Python and/or TypeScript.
Rapidly validate ideas from ideation to deployment.
Establish reusable frameworks, libraries, and CI/CD pipelines for AI development.

AI Governance, Quality & Safety

Implement guardrails to minimize hallucinations, unsafe actions, and data leakage.
Define evaluation and monitoring strategies for AI systems, including prompt regression and RAG accuracy checks.
Ensure AI solutions comply with enterprise security, privacy, and governance standards.

Developer Enablement & Collaboration

Partner with Product, Engineering, QE, Performance, and Security teams to deliver AI capabilities.
Mentor teams on AI design patterns, tooling, and best practices.
Contribute to internal AI communities through demos, documentation, and knowledge sharing.

Qualifications :

Required Qualifications

Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
Demonstrated expertise in cloud‑native system design, distributed architectures, and enterprise‑scale integrations.
Proven ability to architect and implement AI-enabled systems, including integrating Large Language Models (LLMs) into production-grade software.
Strong ownership of architectural decisions, technical direction, and solution delivery across complex, cross-functional initiatives.
Hands-on experience applying security, observability, and automation best practices within enterprise environments.
6–10 years of experience in software architecture and distributed systems.
5+ years of experience building Generative AI or LLM-based solutions.
Practical experience designing and implementing:
Retrieval-Augmented Generation (RAG) architectures
Agentic AI systems
Tool-calling frameworks and AI integration layers
Proficiency in Python and/or .Net/TypeScript/Node.js.
Experience working with major cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).

Preferred Qualifications

Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
Familiarity with Model Context Protocol (MCP) or equivalent AI tool-integration frameworks.
Experience applying AI engineering practices beyond prototyping, including evaluation, reliability, and scalability considerations.
Ability to translate ambiguous business problems into clear technical architecture and execution plans.
History of influencing technical standards and mentoring senior engineers or architects.
Experience with vector databases, embeddings, and retrieval optimisation.
Experience building AI-enabled developer tooling and CI/CD pipelines.
Prior experience in enterprise SaaS environments.

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About Deltek

Founded :

1983

Type :

Product

Size :

1000-5000

Stage :

Profitable

About

Project-based businesses transform the world we live in. Deltek innovates and delivers software and solutions that power them to achieve their purpose. Our industry-specific software and information solutions maximize our customers' performance at every stage of the project lifecycle by enabling superior levels of project intelligence, management and collaboration.

Deltek is the recognized global standard for project-based businesses across government contracting and professional services industries, helping more than 30,000 organizations of all sizes deliver on their mission.

With over 4,200 employees worldwide, our team of industry experts is passionately committed to creating exceptional customer experiences.

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