Senior AI Architect: GenAI & MLOps for Enterprise

HTC Global Services Inc; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health benefits

PTO

Paid holidays

401(k) matching

Life and disability insurance

Professional development opportunities

Wellness programs

Other perks

Job summary

HTC Global Services Inc. is seeking an AI Architect to own end-to-end GenAI and AI/ML architectures for scalable, secure enterprise solutions. You will guide data foundations, model selection, deployment, governance, and monitoring, collaborating with business, data, engineering, and risk teams while advising executives on feasibility and trade-offs.

You will lead PoCs, establish MLOps practices, and mentor engineers and data scientists, ensuring robust, compliant AI systems across platforms.

Qualifications

• 10+ years in software or data engineering.
• 4+ years architecting AI/ML solutions in production.
• Hands-on experience with LLMs and GenAI: prompt engineering, RAG, embeddings, and agent frameworks.
• Strong Python skills and fluency in ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Deep experience with at least one major cloud (AWS, Azure, or GCP) and its AI services.
• Experience with MLOps tooling (MLflow, Kubeflow, Docker, Kubernetes, CI/CD).
• Solid grounding in data architecture: data lakes/warehouses, streaming, APIs, and microservices.
• Knowledge of security, privacy, and governance for AI systems.
• Excellent communication, with the ability to explain technical trade-offs to non-technical leaders.

Responsibilities

• Design end-to-end AI/ML and GenAI architectures (RAG, agents, fine-tuning, model serving) that integrate with existing enterprise platforms.
• Evaluate and select LLMs, vector databases, orchestration frameworks, and MLOps tooling.
• Define reference architectures, patterns, and standards for reuse across teams.
• Partner with data engineering on pipelines, feature stores, and data quality for AI workloads.
• Build in responsible AI: model risk management, explainability, bias testing, audit trails, and regulatory compliance.
• Establish MLOps/LLMOps practices covering CI/CD, evaluation, observability, drift detection, and cost control.
• Lead proofs of concept and pilots, and move them to production.
• Advise stakeholders and executives on AI strategy, feasibility, and trade-offs.
• Mentor engineers and data scientists, and run architecture reviews.

Skills

GenAI architectures

LangChain

LlamaIndex

Python

Cloud platforms

MLOps

Data architectures

Tools

Docker

Kubernetes

CI/CD

MLflow

Kubeflow

Job description

HTC Global Services Inc. is seeking an AI Architect to own end-to-end GenAI and AI/ML architectures for scalable, secure enterprise solutions. You will guide data foundations, model selection, deployment, governance, and monitoring, collaborating with business, data, engineering, and risk teams while advising executives on feasibility and trade-offs.

You will lead PoCs, establish MLOps practices, and mentor engineers and data scientists, ensuring robust, compliant AI systems across platforms.