Description
The AI Systems Engineer Role
As an AI Systems Engineer. AI Practice team, you will design and build
production-grade agentic AI systems that power the next generation of intelligent automation at
project. Reporting to the Global Head of AI Strategy, Policy, and Governance, you will work at the
frontier of multi-agent orchestration — connecting large language models to project data
ecosystem and beyond, turning complex data signals into reliable, automated action.
What makes this role interesting?
• Frontier Technology: You’ll work directly with cutting-edge agentic frameworks —
LangGraph, LangChain, AgentCore, MCP — building systems that most engineers are
only reading about.
• Real Impact: The pipelines you build will directly power customer-facing intelligence,
internal automation, and executive decision support across a 40,000+ customer base.
• Collaborative Team: You’ll be embedded in a small, high-velocity AI Practice team with
a direct line to executive leadership and cross-functional stakeholders across CS, Sales,
and Product.
Requirements
Project: We’re looking for a teammate with:
The ideal candidate will have hands-on experience building and shipping agentic AI systems, with deep proficiency in Python and the modern AI engineering stack:
• Python Expertise: Python is your primary language. You write clean, production-grade code, build robust data pipelines, and are comfortable owning the full lifecycle from prototype to deployment.
• Agentic Frameworks: Practical experience with LangGraph, LangChain, AgentCore, or comparable multi-agent orchestration frameworks, including agent routing, state management, tool use, memory, and evaluation.
• LLM Integration: Demonstrated experience integrating large language models via AWS Bedrock, Anthropic APIs, or similar platforms, including prompt engineering, context management, and output validation.
• Data Source Integrations: Hands-on experience connecting applications to modern data platforms including Snowflake, Apache Iceberg, OpenSearch, or similar technologies. Experience with cloud analytics and data integration platforms is a strong plus.
• MCP / Tool-Use Patterns: Familiarity with Model Context Protocol (MCP) or equivalent patterns for providing agents with structured, governed access to external data systems.
• API Development: Experience building production-grade REST APIs using FastAPI or comparable Python frameworks.
• Cloud Platforms: Hands-on AWS experience, with Bedrock exposure strongly preferred. Familiarity with IAM, Lambda, and API Gateway is a plus.
Beyond technical skills, we’re looking for someone who brings:
• Bias for Action: You ship, instrument, and iterate—you don’t wait for perfect requirements.
• Strong Communication: Ability to clearly and concisely explain complex agentic system behavior to non-technical stakeholders.
• Security and Governance Mindset: Awareness of responsible AI practices, data privacy considerations, and the importance of auditability in agentic systems.
• Collaborative Spirit: Comfortable working across functions and organizational levels, from Customer Success Managers to C-suite executives.
Job responsibilities
Project: Here’s how you’ll be making an impact:
• Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent systems using LangGraph and AgentCore, including routing logic, evaluation loops, retry mechanisms, and agent specialization patterns.
• Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines, tool-augmented agents, memory constructs, and retrieval-augmented generation workflows.
• Integrate Across the Data Ecosystem: Build reliable, performant Python integrations connecting agents to cloud analytics platforms, data integration services, Snowflake, Apache Iceberg, OpenSearch, and other data sources via MCP and direct API patterns.
• Connect via MCP: Develop and maintain Python-based integrations with MCP servers to provide agents with real-time, structured access to platform data, metadata, and telemetry.
• Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manage LLM-powered agents at scale, ensuring reliability, cost efficiency, and security compliance.
• Build FastAPI Services: Develop lightweight, production-ready API services that expose agentic capabilities to downstream consumers and orchestration platforms.
• Iterate Rapidly: Operate in a fast-moving incubator environment — prototype quickly, instrument your work, and evolve solutions based on real usage signals.
• Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, and Analytics stakeholders to translate business requirements into agentic architectures.
What we offer
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
