Agentic AI Data Solution Architect

TEKsystems; Deutschland; Hybrid; EUR 143.000 - 156.000; Vollzeit

Zusammenfassung

TEKsystems seeks an Agentic AI Data Solution Architect for CDC projects. You will deliver rapid AI prototypes (LLMs, chatbots, NLP) within 3–4 week sprints, blending full-stack development with cloud deployments to create scalable proofs of concept.

You will design base architectures, data models for AI agents, memory/state management, and RAG pipelines, while ensuring compliance with federal data governance and privacy standards in public health environments.

Qualifikationen

• Experience in data-centric AI or ML projects in healthcare or public health.
• Experience designing APIs and microservices (FastAPI/Flask) and Redis caching.
• Knowledge of NLP libraries: spaCy, NLTK, or Hugging Face Transformers.
• Cloud AI data platforms: Azure AI, AWS Kendra/Bedrock, or GCP Vertex AI.
• Understanding data ethics, privacy, and security standards.
• Ability to adopt emerging AI tech like LlamaIndex and memory architectures.

Aufgaben

• Design and deliver AI prototypes within 3–4 week sprint cycles.
• Architect scalable AI solutions including data models and memory/state management.
• Develop and deploy full-stack components (React, backend, cloud infra).
• Ensure compliance with CDC data governance, privacy, anonymization, and ethics.
• Collaborate with technical teams and stakeholders to validate use cases.

Kenntnisse

Architecture

Solution architecture

Cloud

RAG

chatbot

LLM

NLP

postgresql

pgvector

aws kendra

hugging face

Tools

FastAPI

Flask

Redis

spaCy

NLTK

Hugging Face Transformers

Azure AI

AWS Kendra

AWS Bedrock

GCP Vertex AI

Jobbeschreibung

Description

We are seeking an Agentic AI Data Solution Architect for our customer at the CDC.This role will be a key engine behind our AI development team, delivering functional AI prototypes within a fast-paced 3–4-week timeline. The team works to quickly validate innovative AI use case ideas for our clients. We’re looking for a hands‑on Architect who can seamlessly blend expertise in modern AI solutions (e.g., LLMs, chatbots, NLP) with hands‑on full‑stack development and cloud deployments to create scalable, impactful prototypes. The architect will leverage knowledge of the design and implementation of base architectures, data modeling for AI agents, Memory and State Management, and construction of RAG Pipeline Design. They will need to familiarize themselves with the CDC operating environment such that their solutions can be practically implemented. They will also ensure compliance with federal enterprise technology requirements, data privacy standards, anonymization protocols, and ethical guidelines critical to public health data management.

Key Responsibilities

• Design and deliver functional AI prototypes within rapid 3–4 week sprint cycles, integrating modern AI technologies such as LLMs, chatbots, NLP models, and agentic architectures.
• Architect scalable AI solutions, including base system architectures, data modeling for AI agents, memory/state management, and end to end RAG pipeline design.
• Develop and deploy full stack components (e.g., React.js interfaces, backend services, cloud infrastructure) to support interactive AI workflows and prototype usability.
• Ensure compliance and responsible AI implementation, following federal and CDC requirements for data governance, privacy, anonymization, and ethical standards in public health environments.
• Collaborate closely with technical teams, public health experts, and client stakeholders to validate use cases, refine solution approaches, and ensure prototypes align with operational constraints and mission needs.

Skills

Architecture, Solution architecture, Cloud, RAG, chatbot, LLM, NLP, postgresql, pgvector, aws kendra, hugging face

Top Skills Details

Architecture,Solution architecture,Cloud,RAG,chatbot,LLM,NLP,postgresql,pgvector

Additional Skills & Qualifications

• Experience in data-centric AI or ML projects within healthcare, biomedical, or public health sectors
• Experience designing APIs, microservices architecture, including FastAPI or Flask, and caching mechanisms such as Redis
• Knowledge of NLP methods and libraries, including spaCy, NLTK, or Hugging Face Transformers
• Knowledge of cloud-based AI data platforms, preferably Azure AI and data services but may include AWS Kendra, AWS Bedrock, or GCP Vertex AI
• Knowledge of data ethics, privacy standards, and security protocols
• Ability to adopt and implement emerging AI technologies such as LlamaIndex, or advanced memory architectures

Experience Level

Expert Level

Job Type & Location

This is a Contract to Hire position based out of Atlanta, GA.

Pay and Benefits

The pay range for this position is $80.00 - $87.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable 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 hybrid position in Atlanta,GA.

Application Deadline

This position is anticipated to close on Sep 15, 2026.

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.

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.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.