Generative AI concepts jobs

BA/BS in Computer Science, Information Systems, Engineering, or related field, or equivalent work experience
Nice to have: Microsoft AI and automation platforms
Nice to have: Azure AI Foundry
Nice to have: Microsoft Copilot Studio
Nice to have: Microsoft 365 Copilot

Skills

software engineering systems engineering cloud enterprise technology delivery people leadership AI delivery

Stage - Agentification des services d'Orange Téléphone F/H

Orange Business · Posted Nov 9, 2026

Open

Lannion, Brittany, France
On-site
Internship · Intern

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Integrate Orange Téléphone services into market AI assistants and agents (like ChatGPT, Gemini) through a three-phase mission: study, development, and demonstration.

Responsibilities

List and study market AI assistants and agents.
Integrate Orange Téléphone services (API) into one or more smartphone and web portal solutions.
Demonstrate the solution to fuel the strategic vision of Orange Innovation.

Requirements

Étudiant en cycle ingénieur (Engineering degree student)
Nice to have: Curiosity
Nice to have: Proactivity
Nice to have: Rigour
Nice to have: Team spirit

Skills

Generative AI concepts Software production chain mastery Source code versioning Unit testing CI/CD ChatGPT Gemini Google API

Internship in GenAI Knowledge Assistant for Engineering

Bosch Group · Posted Nov 9, 2026

Open

Wernau, Baden-Württemberg, Germany
Hybrid
Internship · Intern

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Collect, structure and preprocess engineering knowledge sources, evaluate and implement generative AI tools on Databricks to enable hardware engineers to query documents and structured data, and collaborate with hardware engineers to improve solutions.

Responsibilities

Collect, structure and preprocess engineering knowledge sources
Evaluate suitable Databricks-native and open-source tools
Design and implement natural language workflows on Databricks
Apply prompt and context engineering to ensure result quality and traceability
Collaborate closely with hardware engineers to understand use cases and improve solutions

Requirements

Master studies in Data Science, Artificial Intelligence, Computer Science, Information Systems, Engineering or a comparable quantitative or technical area
Nice to have: engineering background
Nice to have: understanding of heat pump technology and operating principles

Skills

large language models Generative AI concepts RAG embeddings vector databases

IT Product Developer II, III, IV

Williams · Posted Nov 6, 2026

Open

Tulsa, Oklahoma, United States
10+ years

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Product Engineer responsible for designing, developing, and delivering in‑house software products with a focus on AI-enabled solutions.

Responsibilities

Lead design and development of sophisticated software solutions including hands‑on development, testing, and debugging
Define technical vision and guide architectural decisions
Collaborate with partners to define project goals and requirements
Provide technical leadership and mentorship to developers and teams
Contribute to documentation of software solutions and processes

Requirements

High school diploma/GED, Vocational/Technical/Business School
Bachelor's Degree in Computer Science or related field (preferred)

Skills

Expert-level proficiency in relevant programming languages, frameworks, and technologies Deep understanding of software development lifecycle and methodologies Experience with crafting scalable and maintainable software systems Proficiency in querying and crafting databases

Senior Consultant, Forward Deployed Engineer

Capgemini · Posted Oct 29, 2026

Open

New York, New York, United States
Senior
$113K–$213K per year
5+ years

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Own embedded technical workstreams and deliver production‑grade solutions that client teams adopt.

Compensation

The base compensation range for this role in the posted location is: $112,600 - $212,700

Responsibilities

Own workstreams through deployment
Build AI workflows and pipelines
Partner with client engineers
Drive adoption through enablement
Mentor consultants

Skills

Python SQL Palantir Foundry AI literacy Generative AI concepts Responsible AI principles

Benefits

Paid time off
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage

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Python Test Automation Engineer

Infosys Pontoon · Posted Nov 5, 2026

Open

Dallas, Texas, United States
On-site
Contract
4–8 years

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Requirements

Nice to have: Ability to work independently
Nice to have: Strong analytical skills
Nice to have: Excellent communication skills
Nice to have: Collaboration with cross-functional teams
Nice to have: Proactive ownership

Skills

Service Virtualization tools Python programming Generative AI concepts API testing integration testing CI/CD practices Agile/Scrum methodology GitHub Copilot ChatGPT Claude Gemini

Title: Python Test Automation Engineer Location: Dallas, TX 75202 (Onsite) Duration: 6 months Must Have Skills: Strong hands-on experience in Service Virtualization tools and frameworks. Good proficiency in Python programming for automation, scripting, and testing activities. Exposure to Generative AI (Gen AI) concepts, tools, and their application in software testing and automation. Experience in API testing, integration testing, and test automation is an added advantage. Understanding of CI/CD practices and Agile/Scrum methodology. Nice to Have Skills: Ability to work independently with minimal supervision. Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to collaborate effectively with cross-functional teams and stakeholders. Proactive approach with strong ownership and accountability. Detailed Job Description: Experienced API Testing and Service Virtualization Professional with expertise in REST/SOAP/GraphQL API validation, automation, synthetic test data generation, and integration testing. Skilled in building virtual services that simulate real-world system behavior and support complex testing scenarios. Proficient in AI-assisted development and testing using GitHub Copilot, ChatGPT, Claude, Gemini, and other modern AI platforms to deliver high-quality, secure, and scalable solutions. Minimum Years of Experience:4 to 8 years

Senior Consultant, AI Transformation Advisory

Capgemini · Posted Nov 5, 2026

Open

Dallas, Texas, United States
Senior
$106K–$199K per year
5–8 years

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Lead significant portions of AI and data transformation programs, independently managing governance, change, value realization, and stakeholder engagement workstreams.

Compensation

The base compensation range for this role in the posted location is: $105,600 - $199,480

Responsibilities

Develop target operating model components and governance forums.
Build business cases, benefits dashboards, and financial trackers.
Facilitate workshops and working sessions.
Prepare executive-ready steering committee materials.
Coordinate across technical delivery teams to resolve dependencies.

Skills

AI literacy Generative AI concepts AI-enabled opportunities AI governance AI adoption AI readiness AI-driven solutions Responsible AI principles

FSP Regulatory Affairs Manager - Regulatory Intelligence MC

Thermo Fisher Scientific · Posted Nov 4, 2026

Open

Remote, Belgium
Remote
Manager
9+ years

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Regulatory Affairs Manager – Regulatory Intelligence

Responsibilities

Monitor and analyze global regulatory changes
Assess implications for client development programmes
Align stakeholders across regulatory and cross-functional teams
Communicate insights through newsletters and briefing documents
Conduct regulatory precedent searches

Requirements

Bachelor's degree or equivalent
Nice to have: Agentic AI workflows
Nice to have: Human oversight and validation of AI outputs

Skills

Regulatory intelligence Regulatory frameworks Drug development lifecycle CMC Regulatory intelligence tools (Clarivate, Citeline)Generative AI concepts Agentic AI tools

Process Transformation Consultant

Capgemini · Posted Nov 3, 2026

Open

Irving, Texas, United States
Full-time · Associate
$68K–$128K per year
2–5 years

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As a consultant you'll help clients improve core enterprise processes using process mining, analytics, and intelligent automation to drive measurable business outcomes and transformation.

Compensation

The base compensation range for this role is $67,500 to $127,510.

Responsibilities

Document workflows and identify improvement and automation opportunities
Support process mining and process discovery initiatives (data prep, analysis, insights)
Build performance reporting (KPIs, dashboards), trend analysis
Support automation backlogs and transformation roadmaps
Support workshops and synthesis into clear recommendations

Requirements

Nice to have: Lean six sigma certification
Nice to have: exposure to core enterprise processes

Skills

process improvement BPM automation business analysis AI literacy generative AI concepts