Overview
On Site
USD 55.00 - 70.00 per hour
Full Time
Skills
Recruiting
Large Language Models (LLMs)
SAFE
Use Cases
Real-time
Management
API
Cloud Computing
Amazon Web Services
Vertex
Artificial Intelligence
Python
LangChain
LlamaIndex
Orchestration
Workflow
Decision Trees
Access Control
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Taxes
Life Insurance
Collaboration
Partnership
Business Transformation
Law
Job Details
We're hiring a senior-level engineer to lead the deployment and enablement of large language models (LLMs) across cloud platforms like AWS Bedrock and Google Vertex AI. This is a hands-on engineering role focused on designing secure, auditable, and reusable LLM delivery patterns - with emphasis on agentic workflows, prompt orchestration, observability, and guardrail enforcement.
You'll work across teams - from cyber and risk to architecture and product - to build platform-level capabilities that accelerate the safe, compliant adoption of LLMs for high-impact use cases. You'll be responsible for converting proof-of-concepts into production-ready deployments, instrumented for telemetry, policy enforcement, and post-deployment validation.
This role is for someone who has a strong grasp of how LLMs behave in real-world applications, not just in notebooks - and knows how to design systems that are both flexible and trusted.
Responsibilities
Design and implement reusable deployment blueprints for LLMs across Bedrock and Vertex AI, with support for both batch and real-time inference.
Build infrastructure to manage prompts, chains, retrieval strategies (RAG), and memory in a modular, auditable way.
Enable secure use of foundation models, including usage quotas, red-teaming sandboxes, API gateways, and runtime policy enforcement.
Partner with architecture and cyber teams to embed controls aligned with internal AI governance and regulatory expectations.
Implement observability layers that track model behavior, prompt performance, drift, cost, and data leakage risks.
Guide application teams in integrating LLMs into downstream products via APIs, workflows, and agents.
Required Qualifications
6+ years in engineering roles, including experience with LLM application delivery in a cloud environment.
Hands-on experience deploying models on AWS Bedrock, Vertex AI, or similar managed foundation model platforms.
Proficiency with Python and frameworks such as LangChain, LlamaIndex, or orchestration libraries like Ray, Argo, or Prefect.
Deep understanding of prompt tuning, embedding models, retrieval workflows, and agentic decision trees.
Experience implementing security, telemetry, or access control for ML or GenAI applications in enterprise environments.
Pay and Benefits
The pay range for this position is $55.00 - $70.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Columbus,OH.
Application Deadline
This position is anticipated to close on Aug 20, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
You'll work across teams - from cyber and risk to architecture and product - to build platform-level capabilities that accelerate the safe, compliant adoption of LLMs for high-impact use cases. You'll be responsible for converting proof-of-concepts into production-ready deployments, instrumented for telemetry, policy enforcement, and post-deployment validation.
This role is for someone who has a strong grasp of how LLMs behave in real-world applications, not just in notebooks - and knows how to design systems that are both flexible and trusted.
Responsibilities
Design and implement reusable deployment blueprints for LLMs across Bedrock and Vertex AI, with support for both batch and real-time inference.
Build infrastructure to manage prompts, chains, retrieval strategies (RAG), and memory in a modular, auditable way.
Enable secure use of foundation models, including usage quotas, red-teaming sandboxes, API gateways, and runtime policy enforcement.
Partner with architecture and cyber teams to embed controls aligned with internal AI governance and regulatory expectations.
Implement observability layers that track model behavior, prompt performance, drift, cost, and data leakage risks.
Guide application teams in integrating LLMs into downstream products via APIs, workflows, and agents.
Required Qualifications
6+ years in engineering roles, including experience with LLM application delivery in a cloud environment.
Hands-on experience deploying models on AWS Bedrock, Vertex AI, or similar managed foundation model platforms.
Proficiency with Python and frameworks such as LangChain, LlamaIndex, or orchestration libraries like Ray, Argo, or Prefect.
Deep understanding of prompt tuning, embedding models, retrieval workflows, and agentic decision trees.
Experience implementing security, telemetry, or access control for ML or GenAI applications in enterprise environments.
Pay and Benefits
The pay range for this position is $55.00 - $70.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Columbus,OH.
Application Deadline
This position is anticipated to close on Aug 20, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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.