Technology Development Program (TDP) – Applied Intelligence Analyst - NAELFY26

Accenture•Boston, MA

1d•Hybrid

About The Position

As a Technology Applied Intelligence Analyst within the Technology Development Program (TDP), you will work on projects combining artificial intelligence with data, analytics, and automation to solve business problems and create value. The role involves exploring how AI can improve company operations and being at the forefront of reinvention. Candidates should frequently use AI in their daily work or studies, demonstrating practical examples of leveraging AI, including writing effective prompts, iterating on outputs, and adapting AI responses to solve real problems. You will contribute to meaningful projects, helping companies unlock new potential by augmenting human capabilities with AI, and develop market-leading technology assets and services. The role involves designing, building, testing, and deploying custom applications and services, collaborating with engineering, architect, and product teams for API integrations, tool use implementations, and agentic workflow design. You will also iterate on prompts and system instructions to optimize AI across client projects, participate in client meetings, and communicate updates professionally. In-person collaboration with teams, clients, and leaders is essential for relationship building and learning. Soft skills like communication, adaptability, curiosity, eagerness to learn, and strong organizational abilities are important. The role may involve specializations such as: Anthropic/Claude Analyst, focusing on using Claude models and the Anthropic ecosystem to design, build, and deploy intelligent solutions; or Forward Deployed Engineer (FDE) Analyst, for those with strong software engineering foundations, high learning agility, and AI savviness, working across the full software development lifecycle to build and evolve custom applications, platforms, and APIs, leveraging cloud, DevOps, and AI tools.

Requirements

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)

Nice To Haves

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
API and service‑oriented architectures
Databases (SQL or NoSQL)
Cloud platforms (AWS, Azure, GCP)
DevOps concepts and automation
Frontend frameworks such as React or Angular

Responsibilities

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
Design, build, and deploy intelligent solutions that solve real client problems (for Anthropic/Claude Analyst specialization)
Work across the full software development lifecycle, building and evolving custom applications, platforms, and APIs (for Forward Deployed Engineer Analyst specialization)
Leverage cloud, DevOps, and AI tools to accelerate delivery while learning how to translate business needs into scalable, production‑ready solutions (for Forward Deployed Engineer Analyst specialization)