AI Solutions Architect

Overview

Hybrid
$140,000 - $200,000
Full Time

Skills

API
Artificial Intelligence
Benchmarking
C#
Collaboration
Communication
Customer Experience
Generative Artificial Intelligence (AI)
Management
Microsoft Azure
Optimization
Data Security
Data-flow Diagrams
Evaluation
Financial Services
Leadership
Sales
Shipping
Software Design
Solution Architecture
TypeScript
Use Cases
Orchestration
POC
Performance Tuning
Privacy
Python
Regulatory Compliance
Vector Databases
Vertex
Workflow

Job Details

Job Description -

Here s your AI Solutions Architect job description arranged in a clean, professional format (same structure and tone as the original listings you shared earlier):

AI Solutions Architect (Generative AI) Hybrid Dallas, TX

Location: Dallas, Texas (Hybrid) Location: Dallas either in Plano or Frisco (HYBRID)

Client name is confidential

<>Company Summary</>

We are a digital engineering firm delivering AI, data, and platform solutions for enterprise clients in regulated industries.
Our teams design and deploy production-grade systems that enhance customer experience, automate operations, and drive measurable business outcomes.
We value pragmatic architecture, hands-on validation, and strong governance in every engagement.

<>Position Summary</>

We re seeking a Senior Solution Architect Generative AI to design and deliver enterprise-scale GenAI applications and AI agents.
This role combines architecture leadership with hands-on PoC development to validate solutions quickly and scale them responsibly.
Success is defined by production deployments that meet privacy, compliance, and performance standards.

<>Responsibilities</>
  • Architect and deliver GenAI applications and AI agents for high-impact use cases in financial services.
  • Design robust RAG pipelines and agentic systems involving prompt orchestration, memory, vector search, and context management.
  • Build PoCs/MVPs to validate technical approaches and de-risk production rollout.
  • Define evaluation methods, golden datasets, and quality metrics for models, prompts, and retrieval pipelines.
  • Collaborate with product, data, security, and compliance teams to ensure privacy and governance requirements are met.
  • Select and integrate platforms/services including Azure OpenAI, Vertex AI, Anthropic, OpenAI API, and vector databases such as Pinecone, Weaviate, Chroma, and FAISS.
  • Produce detailed architecture documents, threat models, data flow diagrams, and runbooks.
  • Provide technical guidance during implementation and support pre-sales activities when required.
<>Qualifications</>
  • 10+ years of Solution Architecture experience, with 2+ years leading GenAI solution design.
  • Proven track record in shipping production GenAI systems and AI agents at enterprise scale.
  • Strong expertise in RAG and agentic orchestration.
  • Proficiency in building PoCs using Python, TypeScript, or C#.
  • Hands-on experience with vector databases and embedding workflows.
  • Experience working in regulated industries with strict data privacy and compliance requirements.
  • Excellent communication, leadership, and cross-functional collaboration skills.
<>Nice to Have</>
  • Experience in retrieval optimization and reranking.
  • Familiarity with safety and guardrail tooling.
  • Expertise in model benchmarking, cost/performance tuning, and MLOps/LangOps practices for GenAI.

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.

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