Senior Ai And Innovation Full Stack Engineer

DXC Technology (NYSE:DXC) - where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success.
People are the heart of our business.
We support each other and work as a team, globally and locally to deliver excellence for our customers and colleagues.
We live in more than 70 countries, speak multiple languages and work with over 6,000 customers on almost every continent.
We use the power of technology to deliver technology services that move the world.
DXC.com
DXC is a leading global provider of products, technologies, solutions and services to consumers and business.
The company's offerings span IT infrastructure, global services, imaging and printing.
We invent, engineer and deliver technology solutions that drive business value, create social value and improve the lives of our customers.
About the Role We are seeking a versatile Senior AI & Innovation Full Stack Engineer to join our team and contribute to both frontend and backend R&D for our platform.
This role is ideal for engineers who are passionate about R&D and prototyping, as you will have the opportunity to innovate and experiment with new technologies and solutions.
You will work across the entire technology stack, collaborating with UI/UX designers, architects, business owners, and other developers and engineers to build prototypes with cohesive end-to-end features and functionality.
Key Responsibilities
Collaborate with cross-functional and cross-geographic teams to define, design, develop, and communicate prototypes.
Develop and troubleshoot prototypes with both frontend and backend components, ensuring adherence to team coding standards, architectural patterns, and security practices.
Create and maintain comprehensive documentation for all projects, including AI systems and agent architectures.
Focus on R&D prototyping: Experiment with new technologies, frameworks, and methodologies to create innovative solutions and validate new ideas and concepts.
Lead the design, development, and deployment of advanced AI agents and multi-agent systems, including the implementation of agentic AI workflows and integration of emerging AI technologies for production.
Design and optimize agent communication protocols, decision-making systems, and learning mechanisms.
Mentor junior engineers and provide technical leadership.
Drive innovation through rapid prototyping of novel agentic AI solutions and stay updated with the latest industry trends and academic breakthroughs.
Required Qualifications
Bachelor's degree in Computer Science, AI/ML, Software Engineering, or equivalent.
2+ years of hands-on experience with AI Agent development and Agentic AI systems.
10+ years of relevant industry experience.
Mandatory Skills
AI Agent & Agentic AI Expertise
Advanced proficiency in AI agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar).
Deep understanding of multi-agent systems, agent communication protocols, and coordination mechanisms.
Extensive experience with Large Language Models (LLMs) and their integration into agent workflows.
Expert-level prompt engineering and chain-of-thought reasoning implementation.
Proven experience with autonomous agent architectures (ReAct, Plan-and-Execute, Reflection patterns).
Knowledge of agent memory systems, tool integration, and environment interaction.
Technical Foundation
Strong problem-solving abilities with complex AI system design.
Excellent communication skills and proven ability to lead technical teams.
Innovation mindset with demonstrated ability to pioneer novel AI solutions.
Highly adaptable to rapidly evolving AI landscape and emerging technologies.
Development Skills
Advanced Python programming with AI/ML libraries (PyTorch, TensorFlow, Transformers, etc.).
Frontend skills: JavaScript, HTML, CSS, React, Angular.
Backend expertise: Python, Node.js, FastAPI, or similar frameworks.
Advanced RESTful API design for AI service integration.
Vector databases and embedding systems (Pinecone, Weaviate, ChromaDB, etc.).
Relational and NoSQL database design and optimization.
Version control systems (Git) with collaborative development workflows.
MLOps and AI model deployment pipelines.
Preferred Skills
PhD in AI/ML, Computer Science, or related field.
Experience with reinforcement learning and multi-agent reinforcement learning.
Knowledge of cognitive architectures and symbolic reasoning systems.
Expertise in AI safety, alignment, and responsible AI development.
Advanced cloud platform experience (AWS, Azure, GCP) with AI/ML services.
Kubernetes orchestration for AI workloads.
Experience with distributed AI systems and edge AI deployment.
Publications or contributions to AI research community.
Experience with AI agent evaluation frameworks and benchmarking.
Knowledge of emerging AI paradigms (Constitutional AI, Tool-using AI, Multimodal agents).
Trust, Transform & Thrive with a company whose mission is to lead clients on their digital transformation journeys, DXC Technology will be recognized globally as a force multiplier, enabling clients to seize the opportunities presented by today's rapidly changing technologies.
If you are a self-starter with a strong customer focus and a results oriented approach complimented by your strong verbal and written communication skills, we would like to hear from you.