Full Time Senior AI Architect

Vision Infotech; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

VISION INFOTECH INC in Dallas, TX, seeks a Senior AI Architect to own end-to-end architecture for enterprise AI systems, spanning data, models, retrieval/orchestration, serving, and integration. You will stay hands-on through delivery and partner with client leadership on technical direction for major AI initiatives.

Genuine depth in classical AI/ML and GenAI/agentic systems is essential, with experience building AI-driven SDLC frameworks and MLOps practices.

Qualifications

• 12+ years in software/data engineering or solution architecture
• 5+ years in AI/ML and 2+ hands-on with production GenAI/LLM systems
• At least three enterprise AI systems delivered to production

Responsibilities

• Own end-to-end architecture for enterprise AI systems spanning data, model, retrieval, serving, and integration.
• Architect traditional ML and deep learning and GenAI/agentic systems, choosing the right technique for each problem.
• Design and build frameworks for AI-driven SDLC — with guardrails and human-in-the-loop controls.
• Define MLOps/LLMOps: CI/CD for models, registries, drift monitoring, and scalable inference.
• Embed responsible AI, security, data governance, and model-risk considerations from the start.
• Partner with sales and client executives to shape solutions, scope proposals and mentor distributed delivery teams.

Skills

AI architecture

GenAI/LLM

MLOps/LLMOps

Python

API/microservices

Docker/Kubernetes

Cloud platforms

Data modeling

Security/governance

Team mentorship

Education

Bachelor's in CS/Engineering

Master's or PhD preferred

Tools

LangChain

LlamaIndex

Vector databases

Job description

Hi,

Hope you’re doing well!!

Please find the requirement below. If you find yourself comfortable with the requirement please reply back with your updated resume or call me back at

Position: Senior AI Architect

Location: Dallas, TX (On-site) (Local) 25% Travel

Duration: Full Time

Visa: Client won't be able to sponsor any visa

LinkedIN ID

About The Role

We are expanding our architecture team with a senior, full-stack AI Architect in Dallas. You will own solution and technical architecture end to end, build reusable frameworks — including frameworks for AI-driven software development — and stay hands‑on through delivery, while partnering with client leadership on the technical direction of major AI initiatives. Genuine depth across both classical AI/ML and modern GenAI/agentic systems is essential.

Responsibilities

• Own end-to-end architecture for enterprise AI systems, spanning data, model, retrieval/orchestration, serving, and integration, designed for scale, performance, security, cost, and reliability.
• Architect across the full spectrum: traditional ML and deep learning (statistical modeling, forecasting, NLP, computer vision, full model lifecycle) and GenAI/agentic systems (LLMs, RAG, multi-agent orchestration, fine-tuning), choosing the right technique for each problem.
• Design and build complete frameworks for AI-driven SDLC — spec-driven development, code generation, migration/modernization, test generation, review, and documentation — with the orchestration, guardrails, and human-in-the-loop controls that make agentic delivery enterprise-safe.
• Define MLOps/LLMOps practice: CI/CD for models and prompts, registries and versioning, drift and quality monitoring, evaluation, and scalable, cost-optimized inference.
• Embed responsible‑AI, security, data‑governance, and model‑risk considerations into architectures from the start.
• Partner with sales and client executives to shape solutions, scope proposals and RFP responses, and present architecture to engineering and executive audiences; provide design direction and mentorship to distributed delivery teams.

Required Qualifications

• Experience: 12+ years in software/data engineering or solution architecture, including 5+ in AI/ML and 2+ hands‑on with production GenAI/LLM systems; at least three enterprise AI systems delivered to production.
• Traditional AI/ML: statistics and ML fundamentals; classical algorithms and deep learning (transformers, CNNs/RNNs); feature engineering; model training, evaluation, deployment, and monitoring.
• Generative AI/LLM: LLMs (GPT, Claude, Gemini, Llama, Mistral); RAG and retrieval design; embeddings and vector databases (e.g., pgvector, Pinecone); prompt and context engineering; fine‑tuning (LoRA/QLoRA/PEFT); evaluation and guardrails.
• Agentic systems: multi‑agent orchestration, tool use, memory/state; frameworks such as LangChain/LangGraph, LlamaIndex, or equivalents; and MCP.
• AI‑driven SDLC: hands‑on applying AI across the lifecycle and building frameworks/accelerators — not just using tools.
• Cloud & platforms: strong on at least one of AWS (Bedrock, SageMaker), Azure (Azure OpenAI, Azure ML), Google Cloud Platform (Vertex AI); cloud‑native, distributed, event‑driven design.
• Engineering: expert Python; API and microservices design; Docker/Kubernetes; CI/CD; SQL/NoSQL and graph/knowledge graphs; strong design‑patterns and system‑design grounding.
• Non‑functional rigor: scalability, performance, security, observability, and cost at enterprise scale.
• Communication: credible with CIOs and engineers alike; experience mentoring and setting technical standards.

Preferred Qualifications

• Regulated or high‑complexity enterprise experience (financial services, insurance, retail, manufacturing).
• AI‑based legacy modernization and code transformation.
• AI governance / model‑risk frameworks in practice (e.g., SR 11‑7, NIST AI RMF, ISO/IEC 42001).
• Building frameworks, platforms, or accelerators adopted across multiple teams or clients.
• Consulting or systems‑integration background.

Education & details

• Bachelor's in Computer Science, Engineering, Data Science, or related; Master's or PhD preferred. Equivalent demonstrated experience considered.
• On‑site, Dallas, TX; ~25% travel. Full‑time.
• Visa sponsorship is not available for this position; applicants must already be authorized to work in the United States on a permanent basis.

Thanks & Regards

Amar Pratap

Senior Technical Recruiter

VISION INFOTECH INC

Phone: ext 531

Direct

Email:

368 Main Street, st #3, Melrose MA 02176

E-Verified Company