Artificial Intelligence (AI) Solutions Architect

OmniVista Consulting; Washington (District of Columbia); Remote; USD 150,000 - 190,000; Full time

Job summary

OmniVista Consulting is seeking an AI Solutions Architect to lead enterprise AI initiatives, bridging strategy and execution across multi-cloud platforms. You will prototype AI approaches, evaluate integration options, and guide components from concept to production, coordinating with CTO and OCIO staff.

The role requires deep expertise in ML/Gen AI, RAG, LLMs, and integration patterns, plus hands-on experience with AWS Bedrock, Azure OpenAI, OpenAI, Anthropic, and Palantir.

Qualifications

• Bachelor’s degree in Computer Science or related IT field (Master’s preferred).
• 5+ years in AI solution architecture or analytics modernization.
• Multi-cloud experience with AWS, Azure, and other AI platforms.
• Hands-on with AWS Bedrock, Azure OpenAI, OpenAI, Anthropic, Palantir.
• Experience integrating AI into existing software (e.g., ServiceNow AI).
• Strong skills in ML, Gen AI, and RPA; knowledge of RAG and LLMs.

Responsibilities

• Serve as AI enabler, monitor vendor market, and translate strategy into actions.
• Identify AI use cases across components; document with writeups.
• Build prototypes using multi-cloud AI platforms and implement AI engines.
• Integrate AI into existing software packages and evaluate trade-offs.
• Lead PoC development and transition prototypes to production.
• Facilitate workshops and align AI adoption with modernization roadmaps.

Skills

AI strategy

Multi-cloud

LLMs

RAG

Stakeholder engagement

ServiceNow AI

Prototype development

Cloud platform

Education

Bachelor’s degree in Computer Science or related IT field

Tools

AWS Bedrock

Azure OpenAI

OpenAI

Anthropic

Palantir

ServiceNow AI

Job description

Artificial Intelligence (AI) Solutions Architect

Location Remote in the DC area - customer-site meetings as needed

Clearance Public Trust Tier 2

The AI Solutions Architect is a member of the Cloud Platform Team who provides direct support to the CTO on enterprise Artificial Intelligence initiatives. This role bridges strategy and execution by engaging with department components to identify AI use cases, evaluating multi-cloud solutions, prototyping innovative approaches, and enabling components to adopt AI capabilities at scale. The position serves as a collaborative resource from the CTO to help components explore AI opportunities through proof-of-concept development and implementation pathways.

Location: Remote (DC Area, must be able to meet on customer site as necessary)
Clearance:Public Trust T2

Key Responsibilities

• Serve as the department’s AI enabler, monitor AI vendor market across multiple cloud platforms, conduct trade-off analyses, and translate enterprise AI strategy into actionable recommendations. Support department-wide AI consolidation efforts while maintaining platform flexibility.
• Proactively engage with different components department-wide to identify potential AI use cases and opportunities.
• Capture and prioritize use cases, develop clear documentation with compelling use case writeups, and work collaboratively as a free resource to help components explore AI adoption.
• Build prototypes using multi-cloud AI platforms including AWS Bedrock, Azure OpenAI, OpenAI, and Anthropic. Implement RAG, LLMs, and AI engines across different cloud environments.
• Integrate AI capabilities into existing software packages such as ServiceNow AI, evaluating trade-offs between building custom applications versus leveraging existing platforms.
• Proof-of-Concept Development & Transition
  • Design and develop proofs-of-concept for stakeholder validation, support “art of the possible” solution engineering, and transition validated prototypes to component adoption.
  • Enable components to progress from proof-of-concept to production consumption models.
• Act as a department-wide AI integrator, lead workshops and demos, work with downstream stakeholders to derive actionable use cases, and align adoption with modernization roadmaps at the direction of the CTO and OCIO staff.

Required Qualifications

• Education
  • Bachelor’s degree in Computer Science, Information Systems, or related IT field (Master’s preferred)
• Experience:
  • 5+ years in AI solution architecture, enterprise cloud IT, or analytics modernization
  • Multi-cloud experience with hands-on expertise across AWS, Azure, and other cloud platforms for AI implementations
  • Hands-on experience with multiple cloud-based AI tools including AWS Bedrock, Azure OpenAI, OpenAI, Anthropic, and Palantir
  • Proven experience developing and optimizing integrated AI capabilities in existing software packages (e.g., ServiceNow AI) with demonstrated ability to evaluate build vs. platform trade-offs
  • Strong implementation experience with AI solutions across Machine Learning (ML), Generative AI (Gen AI), and Robotic Process Automation (RPA)
  • Deep technical knowledge of RAG, LLMs, and AI integration patterns
  • Demonstrated ability to write compelling AI Use Cases with portfolio of use case examples and writeups
  • Proven track record working with downstream stakeholders to derive and validate use cases
  • Excellent communication, facilitation, and stakeholder engagement skills with ability to conduct technical conversations with customers
  • Experience supporting AI prototypes through stakeholder approval and adoption processes

The AI Solutions Architect is a member of the Cloud Platform Team who provides direct support to the CTO on enterprise Artificial Intelligence initiatives. This role bridges strategy and execution by engaging with department components to identify AI use cases, evaluating multi-cloud solutions, prototyping innovative approaches, and enabling components to adopt AI capabilities at scale. The position serves as a collaborative resource from the CTO to help components explore AI opportunities through proof-of-concept development and implementation pathways.

Location: Remote (DC Area, must be able to meet on customer site as necessary)
Clearance:Public Trust T2

Key Responsibilities

• AI Strategy & CTO Support
  • Serve as the department’s AI enabler, monitor AI vendor market across multiple cloud platforms, conduct trade-off analyses, and translate enterprise AI strategy into actionable recommendations. Support department-wide AI consolidation efforts while maintaining platform flexibility.

• Component Engagement & Use Case Development
  • Proactively engage with different components department-wide to identify potential AI use cases and opportunities.
  • Capture and prioritize use cases, develop clear documentation with compelling use case writeups, and work collaboratively as a free resource to help components explore AI adoption.

• Multi-Cloud AI Engineering & Integration
  • Build prototypes using multi-cloud AI platforms including AWS Bedrock, Azure OpenAI, OpenAI, and Anthropic. Implement RAG, LLMs, and AI engines across different cloud environments.
  • Integrate AI capabilities into existing software packages such as ServiceNow AI, evaluating trade-offs between building custom applications versus leveraging existing platforms.

• Proof-of-Concept Development & Transition
  • Design and develop proofs-of-concept for stakeholder validation, support “art of the possible” solution engineering, and transition validated prototypes to component adoption.
  • Enable components to progress from proof-of-concept to production consumption models.

• Collaboration & Enablement
  • Act as a department-wide AI integrator, lead workshops and demos, work with downstream stakeholders to derive actionable use cases, and align adoption with modernization roadmaps at the direction of the CTO and OCIO staff.

Required Qualifications

• Education
  • Bachelor’s degree in Computer Science, Information Systems, or related IT field (Master’s preferred)
• Experience:
  • 5+ years in AI solution architecture, enterprise cloud IT, or analytics modernization
  • Multi-cloud experience with hands-on expertise across AWS, Azure, and other cloud platforms for AI implementations
  • Hands‑on experience with multiple cloud-based AI tools including AWS Bedrock, Azure OpenAI, OpenAI, Anthropic, and Palantir
  • Proven experience developing and optimizing integrated AI capabilities in existing software packages (e.g., ServiceNow AI) with demonstrated ability to evaluate build vs. platform trade‑offs
  • Strong implementation experience with AI solutions across Machine Learning (ML), Generative AI (Gen AI), and Robotic Process Automation (RPA)
  • Deep technical knowledge of RAG, LLMs, and AI integration patterns
  • Demonstrated ability to write compelling AI Use Cases with portfolio of use case examples and writeups
  • Proven track record working with downstream stakeholders to derive and validate use cases
  • Excellent communication, facilitation, and stakeholder engagement skills with ability to conduct technical conversations with customers
  • Experience supporting AI prototypes through stakeholder approval and adoption processes

Preferred Skills & Competencies

• Data wrangling and data quality assessment capabilities
• Hands‑on experience with implementation of Agentic AI solutions
• Python or R programming experience
• Familiarity with AI governance, ethics, and risk frameworks
• Multi-cloud modernization strategy development and implementation experience
• Experience with consumption‑based AI service models and component transition strategies
• Knowledge of federal AI compliance and security requirements
• Background in enterprise platform consolidation initiatives