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AI Architect (Agentic Solutions)

Whiz Global LLC

Remote • Today

Easy Apply

Contract

60 - 65

Lead Agentic AI Solutions Architect

Artech, LLC

Hybrid in Mississauga, Ontario • 9d ago

Easy Apply

Contract

49 - 78

Lead AI Solutions Architect - Agentic AI (Hybrid Boston or Webster)

American Commerce Insurance Company

Webster, Massachusetts • Today

Full-time

USD 140,000.00 - 205,000.00 per year

Principal Cloud Solution Architect, Cloud and Agentic AI Solutions - New York

Microsoft Corporation

New York, New York • Today

Full-time

USD 130,900.00 - 251,900.00 per year

Data & AI Solutions Architect

Vbeyond Corporation

Michigan • Today

Easy Apply

Third Party

Whiz Global LLC

Job Details

Skills

Artificial Intelligence
HIPAA
Microsoft Azure
LLM
RAG
Azure
CI/CD

Summary

Job Title: AI Architect (Agentic Solutions)
Location: Remote
Duration: Long term contract

Experience: 10+ years in engineering, including 4+ years delivering AI agents to production

What you will do

Refine epics with the product owner, split them into testable stories and write acceptance criteria.
Draft specs with AI agents and weigh design options. Choose the right Azure approach for each use case: Copilot Studio, Azure AI Foundry Agents, Microsoft Agent Framework, or a combination.
Design the AI system end to end:

RAG: chunking, indexing, hybrid search, reranking, grounding and citations.
Multi-agent: when to use one agent and when several, orchestration patterns, tool contracts, hand-offs and failure handling.
LLM selection and handling: model choice per task, routing, fallbacks, retries, caching, rate limits and structured outputs.
Token and cost management: context budgets, prompt compression, model tiering and cost per transaction.
Decision APIs: call deterministic rules and decision services for policy decisions, and keep the LLM for interpretation, extraction and drafting.

Set the document intelligence, vector store and context engineering approach for each use case.
Define guardrails: business rules, data access, human approval points, and responsible AI and compliance limits.
Define the evaluation strategy: test sets, metrics, pass thresholds, and the release criteria.
Define the observability standard: what is traced, logged and alerted on for every agent.
Design A/B tests for prompts, models and retrieval changes, and decide when a variant wins.
Review design fit on every pull request, read evaluation evidence against the approved rules, and clear or reject findings.
Confirm release gates and sign off the design record before go/no-go.
Capture lessons and update the reusable patterns, templates and prompts.

Must have

Production delivery of agentic or LLM solutions, including tool calling, orchestration, RAG and multi-agent designs.
Depth in the Microsoft AI stack: Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, Azure OpenAI, Azure AI Search, and Entra ID and Azure security.
Document intelligence design: Azure AI Document Intelligence or equivalent, layout and table extraction, handling scanned and low-quality records, and field-level confidence and validation.
Vector database and retrieval design: embedding model choice, index and chunking strategy, hybrid and filtered search, and retrieval quality measurement.
Context engineering: how to assemble instructions, retrieved data, memory and tool results within a token budget, and how to test context changes.
Evaluation depth: golden datasets, LLM-as-judge and human review, groundedness, relevance, accuracy and safety metrics, regression evals in CI, and setting thresholds the business accepts.
Observability: OpenTelemetry instrumentation for agents (traces, spans, metrics and logs), Azure Monitor and Application Insights or equivalent, and tracking latency, token use, cost and quality in production.
Experimentation: A/B and shadow testing for prompts, models and retrieval, with sound success criteria and rollback.
Spec-driven development with coding agents (GitHub Copilot, Claude Code or similar) in daily delivery.
Enterprise integration and data architecture, including APIs, event and batch pipelines, and CI/CD.
Strong written communication. You can turn policy into precise, testable specs and defend design decisions with business and technical leaders.
Microsoft certifications (Azure AI Engineer Associate / Azure AI Apps and Agents Developer Associate/Agentic AI Business Solutions Architect).

Nice to have

US healthcare payer experience: claims adjudication, Medicaid or managed care, utilization management or appeals, HEDIS and CAHPS.
Familiarity with Facets, Edifecs or similar core payer platforms.
HIPAA, PHI handling and audit-ready AI controls.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90967474
Position Id: 9134841
Posted 3 hours ago

Company Info

About Whiz Global LLC

Whiz Global LLC is currently accepting resumes for a variety of positions. Please review the database of positions that we are seeking to fill and contact us for additional information about any specific opportunity.

Careers

Go to company profile

Fitment

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Contact the job poster

Vikram Batra

Technical Recruiter @ Whiz Global LLC

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Remote

•

Today

The role You own the spec, the system design and the guardrails for every agentic solution the POD ships. You turn a business epic into an approved spec with tests and design the AI system behind it. The engineers build it with coding agents under your direction. You sign off the design and the evaluation evidence before release. What you will do Refine epics with the product owner, split them into testable stories and write acceptance criteria. Draft specs with AI agents and weigh design opti

Easy Apply

Contract

55 - 60

AI ARCHITECT

Remote

•

Today

Job Title: AI Architect (Agentic Solutions)Location: Remote Duration: Long-Term Contract Pay Rate: $60$65/hr. on W2 Experience Required10+ years of overall engineering experience. 4+ years of experience delivering AI agents and agentic solutions into production. Job DescriptionWe are looking for an experienced AI Architect specializing in Agentic Solutions to own the technical specifications, system architecture, and governance of enterprise AI solutions. The ideal candidate will translate busin

Easy Apply

Contract

Depends on Experience

Full-Stack AI Engineer (Agentic Solutions)

Remote

•

Today

Job Title: Full-Stack AI Engineer (Agentic Solutions) Location: Remote Duration: Long term contract Experience:6+ years in software engineering, including 2+ year building LLM or agent solutionsThe role You build, evaluate and deploy agentic solutions from an approved spec, using coding agents for most code, tests and documentation. You direct the agents, check their output and own the result. You deliver working software that is instrumented, evaluated, and ready for the business to accept. Wh

Easy Apply

Contract

60 - 65

FULL STACK AI ENGINEER

Remote

•

Today

Job Title: Full-Stack AI Engineer (Agentic Solutions)Location: Remote Duration: Long-Term Contract Experience: 6+ Years in Software Engineering AI Experience: 2+ Years building LLM / Agentic AI Solutions Job DescriptionWe are looking for a Full-Stack AI Engineer with strong experience in software engineering, LLM applications, and Agentic AI solutions. The candidate will be responsible for building, evaluating, deploying, and maintaining production-ready AI agent applications. Key Responsibiliti

Easy Apply

Contract

Depends on Experience

Whiz Global LLC

Job Details

Skills

Artificial Intelligence
HIPAA
Microsoft Azure
LLM
RAG
Azure
CI/CD

Summary

Job Title: AI Architect (Agentic Solutions)
Location: Remote
Duration: Long term contract

Experience: 10+ years in engineering, including 4+ years delivering AI agents to production

What you will do

Refine epics with the product owner, split them into testable stories and write acceptance criteria.
Draft specs with AI agents and weigh design options. Choose the right Azure approach for each use case: Copilot Studio, Azure AI Foundry Agents, Microsoft Agent Framework, or a combination.
Design the AI system end to end:

RAG: chunking, indexing, hybrid search, reranking, grounding and citations.
Multi-agent: when to use one agent and when several, orchestration patterns, tool contracts, hand-offs and failure handling.
LLM selection and handling: model choice per task, routing, fallbacks, retries, caching, rate limits and structured outputs.
Token and cost management: context budgets, prompt compression, model tiering and cost per transaction.
Decision APIs: call deterministic rules and decision services for policy decisions, and keep the LLM for interpretation, extraction and drafting.

Set the document intelligence, vector store and context engineering approach for each use case.
Define guardrails: business rules, data access, human approval points, and responsible AI and compliance limits.
Define the evaluation strategy: test sets, metrics, pass thresholds, and the release criteria.
Define the observability standard: what is traced, logged and alerted on for every agent.
Design A/B tests for prompts, models and retrieval changes, and decide when a variant wins.
Review design fit on every pull request, read evaluation evidence against the approved rules, and clear or reject findings.
Confirm release gates and sign off the design record before go/no-go.
Capture lessons and update the reusable patterns, templates and prompts.

Must have

Production delivery of agentic or LLM solutions, including tool calling, orchestration, RAG and multi-agent designs.
Depth in the Microsoft AI stack: Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, Azure OpenAI, Azure AI Search, and Entra ID and Azure security.
Document intelligence design: Azure AI Document Intelligence or equivalent, layout and table extraction, handling scanned and low-quality records, and field-level confidence and validation.
Vector database and retrieval design: embedding model choice, index and chunking strategy, hybrid and filtered search, and retrieval quality measurement.
Context engineering: how to assemble instructions, retrieved data, memory and tool results within a token budget, and how to test context changes.
Evaluation depth: golden datasets, LLM-as-judge and human review, groundedness, relevance, accuracy and safety metrics, regression evals in CI, and setting thresholds the business accepts.
Observability: OpenTelemetry instrumentation for agents (traces, spans, metrics and logs), Azure Monitor and Application Insights or equivalent, and tracking latency, token use, cost and quality in production.
Experimentation: A/B and shadow testing for prompts, models and retrieval, with sound success criteria and rollback.
Spec-driven development with coding agents (GitHub Copilot, Claude Code or similar) in daily delivery.
Enterprise integration and data architecture, including APIs, event and batch pipelines, and CI/CD.
Strong written communication. You can turn policy into precise, testable specs and defend design decisions with business and technical leaders.
Microsoft certifications (Azure AI Engineer Associate / Azure AI Apps and Agents Developer Associate/Agentic AI Business Solutions Architect).

Nice to have

US healthcare payer experience: claims adjudication, Medicaid or managed care, utilization management or appeals, HEDIS and CAHPS.
Familiarity with Facets, Edifecs or similar core payer platforms.
HIPAA, PHI handling and audit-ready AI controls.

Dice Id: 90967474
Position Id: 9134841
Posted 3 hours ago

Company Info

About Whiz Global LLC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Vikram Batra

Technical Recruiter @ Whiz Global LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Today

Easy Apply

Contract

55 - 60

AI ARCHITECT

Remote

•

Today

Easy Apply

Contract

Depends on Experience

Full-Stack AI Engineer (Agentic Solutions)

Remote

•

Today

Easy Apply

Contract

60 - 65

FULL STACK AI ENGINEER

Remote

•

Today

Easy Apply

Contract

Depends on Experience

AI Architect (Agentic Solutions)

Skills

Summary

Dice Job Match Score™

Vikram Batra

Similar Jobs

AI Architect (Agentic Solutions)

Whiz Global LLC

Job Details

Skills

Summary

Company Info

About Whiz Global LLC

Dice Job Match Score™

Vikram Batra

Similar Jobs