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Ai In Jobs in Atlanta, TX (NOW HIRING)

... in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design. • Strong Python ... Roles & Responsibilities 1) Architecture & Strategy (AI / Agentic AI) • Define the overall ...

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We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. Equal Employment Opportunity:

We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. Disclaimer: Applicants must be ...

SrSoftware Engineer (AI Platform)

Boston, TX · On-site

$111K - $147K/yr

As a Senior Software Engineer,you'llbe a key member in a team responsible for the development ofscalable, reliable, and innovative AI/GenAI solutions.You'llcontribute to high-priority projects ...

Houston, TX or Boston, MA (Hybrid 2 Days in Office) Reports to : VP, AI Engineering, AI Platform A quick snapshot... As a Staff Data Scientist, you will be a key technical leader responsible for ...

Pulmonology job in Texarkana TX

Texarkana, TX · On-site

$268K - $357K/yr

This is an excellent opportunity to work in a busy, yet patient-centered practice that offers a ... Technology: Abridge AI-integrated physician services to streamline documentation and enhance ...

Embed AI into business operations and value delivery Requirements * 7+ years of related experience in the area of professional responsibility * Certification is required in some areas * Command of ...

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Principal Data Scientist

Atlanta, TX · On-site

$140 - $190/hr

Collaborating with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.

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Ai In information

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What cities near Atlanta, TX are hiring for Ai In jobs?

Cities near Atlanta, TX with the most Ai In job openings:

Infographic showing various Ai In job openings in Atlanta, TX as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, 3% Part Time, and 2% Temporary. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Java AI Architect

Conflux Systems

Texarkana, TX • On-site

$70/hr

Full-time, Part-time

Posted 3 days ago

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Job description

Visa not allowed.
  • CPT EAD
  • Stem - OPT
  • OPT EAD
  • FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

  • Atos has stringent compliance and security requirements that all employees are expected to adhere to.
  • Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
  • Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

  • Client Name: Digital Practice - Internal Customer
  • Posman ID: POSMAN_127590
  • Position ID: 30390692
  • Job Posting ID: ATGTJP00102507
  • Role/Skills: Java EE, React JS, MSGithub Copilot
  • Rate: $70/hr.
  • Location: Remote
  • Duration: 6 months
  • Job Description: See below:

Must Have Technical/Functional Skills:
• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
• Hands-on experience designing/building agent-based approaches and autonomous workflows.
• Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.
• Strong Python development experience and ability to guide teams with reference implementations.
• Experience with RAG, vector databases, and cloud deployments.
• Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics
Preferred / Nice to Have
• Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models.
• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping.
• Knowledge of AI governance requirements and productionization practices.
Roles & Responsibilities
1) Architecture & Strategy (AI / Agentic AI)
• Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.
2) Autonomous Agent Design & Orchestration (Copilot-led)
• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
• Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking
• Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
• Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).
3) Prompt Engineering Excellence
• Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
• Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.
4) RAG + Model/Tool Orchestration (Python-led)
• Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent).
• Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.