AI Architect (GenAI / MLOps)

HTC Global

Charlotte, Northern (NC, KY)

Hybrid

USD 180,000 - 240,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Paid holidays

Life and disability insurance

Professional development opportunities

Wellness programs

Hybrid work

Job summary

HTC Global Services is seeking an AI Architect to own the enterprise AI and GenAI architecture end-to-end, from data foundations to deployment, governance, and monitoring. You’ll work closely with business, data, engineering, and risk teams to advise executives on feasibility, trade-offs, and value creation.

You’ll lead design of end‑to‑end AI/ML architectures, evaluate LLMs and MLOps tooling, and mentor engineers and data scientists while moving proofs of concept to production.

Qualifications

10+ years in software or data engineering, with 4+ years architecting AI/ML solutions in production
Hands-on experience with LLMs and GenAI: prompt engineering, RAG, embeddings, and agent frameworks (LangChain, LlamaIndex)
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 (SageMaker, Bedrock, Azure OpenAI, Vertex AI)
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

LLMs & GenAI

Python

PyTorch

TensorFlow

scikit-learn

Cloud AI services

MLOps tooling

Data architectures

Communication

Education

Master’s or PhD in CS/DS

Tools

LangChain

LlamaIndex

MLflow

Kubeflow

Docker

Kubernetes

SageMaker

Bedrock

Azure OpenAI

Vertex AI

Pinecone

pgvector

OpenSearch

Job description

Location: Charlotte (NC) | Employment Type: Full Time - 40 hours per week | Job Level: T4 | Work Preference: Hybrid | Job Code: 245662

Job Description:

Job Title: AI Architect (GenAI / MLOps)

Position Overview
Turning promising AI ideas into production systems that are secure, compliant, and built to scale is the hard part of enterprise AI. This role sits at the center of that work. You’ll own the architecture for enterprise AI and GenAI solutions end to end, from data foundations and model selection through deployment, governance, and monitoring. You’ll work closely with business, data, engineering, and risk teams, and you’ll advise executives on what’s feasible, what’s worth it, and what the trade-offs are.

What You’ll Do / Key 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

Required Qualifications

10+ years in software or data engineering, with 4+ years architecting AI/ML solutions in production
Hands‑on experience with LLMs and GenAI: prompt engineering, RAG, embeddings, and agent frameworks (e.g., LangChain, LlamaIndex)
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 (e.g., SageMaker, Bedrock, Azure OpenAI, Vertex AI)
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

Preferred Qualifications

Experience in banking, insurance, or asset/wealth management, including regulatory expectations (e.g., SR 11‑7 model risk)
Experience with vector databases (Pinecone, pgvector, OpenSearch) and fine‑tuning or evaluation frameworks
Cloud or architecture certifications (e.g., AWS ML Specialty, Azure AI Engineer, TOGAF)
Master’s or PhD in Computer Science, Data Science, or a related field

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long‑term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

#AIArchitect #GenAI #GenerativeAI #MLOps #LLMOps #MachineLearning #AIJobs #Hiring

At HTC Global Services, our culture is an embodiment of who we are – a value‑led organizationcommitted to success of our people and customers.