Technology Development Program; TDP - Artificial Intelligence Analyst - NAELFY

Position: Technology Development Program (TDP) - Artificial Intelligence Analyst - NAELFY26
Job Description

Are you excited about how Artificial Intelligence is changing the world? As a Technology Artificial Intelligence Analyst, you'll get the chance to work on real projects that combine artificial intelligence with data, analytics, and automation to solve problems and create business value. You'll explore how AI can improve how companies operate and be on the cutting edge of reinvention.

If you frequently use AI in your day to‑day work or studies and can demonstrate practical, everyday examples of how you leverage AI; including the ability to write effective prompts, iterate on outputs and adapt AI responses to solve real problems, this role may be a fit for you.

What Your Role Could Look Like...

* Be part of a meaningful project where your ideas and input truly matter-you'll help companies unlock new potential for businesses by augmenting and extending human capabilities in a smart and creative way, utilizing AI.

* Develop and implement market-leading technology assets and services, focused on solutions that really matter.

* Dive into a variety of assignments like designing, building, testing, and deploying custom applications and services.

* Collaborate with engineering, architect, and product teams to support API integrations, tool use implementations, and agentic workflow design.

* Iterate on prompts and system instructions to optimize AI across diverse client projects.

* Participate in client meetings, share your updates, and exercise clear and confident communication in a professional business setting.

* Collaborate in-person with your team, clients, and company leaders to build relationships, learn from others, and contribute to a vibrant and inclusive workplace.

* Apply soft skills, including communication, adaptability, curiosity and eagerness to learn, and strong organizational abilities.

Your role may involve working across the areas below or other AI tools and platforms.....

Anthropic/Claude Analyst

This specialization is designed for those with Claude experience, a natural curiosity and aptitude for AI. Individuals in this role will be trained and expected to certify in Claude and grow into a Claude Analyst. This role will work at the intersection of business, technology, and AI - using Claude models and the broader Anthropic ecosystem, including the Claude API, Claude Code, etc.

to design, build, and deploy intelligent solutions that solve real client problems.

Forward Deployed Engineer (FDE) Analyst

This specialization is designed for those with strong software engineering foundations, high learning agility, and demonstrated AI savviness. FDEs are hired with a hire‑to‑train model and develop into client‑facing, full‑stack, cloud‑native engineers embedded directly with client teams. As a Forward Deployed Engineer, you will work across the full software development lifecycle, building and evolving custom applications, platforms, and APIs. You will leverage cloud, Dev Ops, and AI tools to accelerate delivery while learning how to translate business needs into scalable, production‑ready solutions.

Ways of Working

This role will require working on site with clients, partners, or in Accenture offices and delivery centers. In‑person collaboration is essential for learning, mentoring, and building strong client relationships, with flexibility supported where possible.

#LI-DNI

#IND-DNI

Qualification

Basic Qualifications

* Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related technical field

* Foundational programming experience (e,g., .NET, Python, or Node.js)

* Demonstrated hands-on experience with AI platforms (e.g., Claude, OpenAI, Codex, Gemini)

* Basic understanding of web technologies (e.g., JavaScript, HTML, CSS)

Preferred Skills & Exposure

* Academic projects or internships in software development

* Academic projects or internships experiences with large language models (LLMs) or AI/ML tools in a professional setting

* Understanding of Agile fundamentals

* dAPI and service‑oriented architectures

* Databases (SQL or No

SQL)

* Cloud platforms (AWS, Azure, GCP)

* Dev Ops concepts and automation

* Frontend frameworks such as React or Angular

Compensation at…