Senior Software Engineer – Architecture & AI Center

Senior Software Engineer – Architecture & AI Center

Be among the first 25 applicants – 1 day ago

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future‑proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next.

We make it happen through the power of acceleration.

We are establishing a Center for Architecture & AI in Dallas focused on building next‑generation intelligent systems and enterprise‑grade software agents. The team brings together senior engineers, architects, and platform leaders to design, build, and operate AI‑enabled products that run in real‑world enterprise environments. Our work spans modern software architecture, distributed systems, cloud platforms, and applied generative AI. We value strong engineering fundamentals, deep technical ownership, collaboration, and a commitment to delivering high‑quality, production‑ready systems.

As a Senior Software Engineer, you will be a hands‑on contributor responsible for designing, building, and maintaining production‑grade software systems and AI‑augmented applications. This code‑first role involves developing software agents, orchestration workflows, APIs, and services used in enterprise environments. You will participate in architecture discussions, design reviews, pair programming, and hands‑on coding exercises, collaborating closely with architects, product leaders, and platform SRE/Dev Ops teams to deliver scalable, observable solutions.

Dallas, TX (Hybrid – 3 days per week in office)

• 3+ years of hands‑on software development experience
• Strong programming skills in Python, Go, or Type Script/Java Script
• Experience building APIs, services, and microservices (FastAPI, Flask, or similar frameworks)
• Hands‑on experience developing software agents or AI‑enabled applications
• Practical experience integrating or building LLM‑based systems (RAG pipelines, embeddings, vector stores, agent frameworks)
• Experience using AI‑assisted coding tools (Git Hub Copilot, Cursor, ChatGPT/Claude workflows) with an understanding of their limitations
• Solid understanding of software architecture, design patterns, refactoring, and performance considerations
• Experience deploying and operating production systems in AWS, Azure, or GCP