Agentic AI Solution Architect

GlobalLogic; United States; On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Health and life insurance

401(k) plan

Flexible spending accounts

Paid time off and holidays

Job summary

GlobalLogic is looking for a Knowledge Architect in the United States to bridge the gap between systems architecture and knowledge extraction. This role focuses on defining ontologies from unstructured data, working closely with industry experts to capture crucial tacit knowledge. Ideal candidates will have 5+ years in knowledge architecture and familiarity with asset-heavy industries like Energy and Manufacturing. The position offers a competitive salary range of $160K–$230K and flexible work options.

Qualifications

• 5+ years of experience in data and knowledge architecture.
• Experience integrating data structures with LLMs or GenAI pipelines.
• Proven track record in asset-heavy industries.

Responsibilities

• Define the physics and world model of the business domain.
• Immerse yourself in client's operational world to capture knowledge.
• Build dynamic knowledge architectures to link industry standards.

Skills

Ontology design

Graph paradigms

Emotional intelligence

Versioning management

Data provenance

Education

Bachelor’s, Master’s, or PhD in Computer Science

Tools

AVEVA PI

SAP

Maximo

Job description

Asset-heavy industries are losing decades of undocumented, tacit knowledge as their workforce retires. Simultaneously, they are discovering that purely probabilistic Generative AI is too unreliable for safety-critical infrastructure. At GlobalLogic/Hitachi, we solve this through a hybrid GenAI/Neuro‑Symbolic approach: using frontier LLMs to extract unstructured knowledge and synthesizing it into rigorous, deterministic world models. This knowledge‑as‑code grounds our AI agents, guaranteeing safety, compliance, and accurate execution within physical environments.

Role

You sit at the intersection of systems architecture, industry standards (e.g., IEC CIM), and human‑in‑the‑loop knowledge extraction. Rather than manually mapping data, together with our AI architects you will design the automated pipelines and extraction engines that translate messy, real‑world operational realities into the clean, logical ontologies that power our autonomous AI agents.

What you will do

• Abstract Reality into Ontology: Define the "physics" and world model of the business domain. Architect systems that automatically extract formal ontologies from unstructured data (manuals, legacy DBs) and define the synthetic datasets required to train and validate our AI agents.
• Deep Domain Immersion & Knowledge Elicitation: Immerse yourself in the client’s operational world, working face‑to‑face with senior, retiring domain experts. Conduct hands‑on interviews and design assistive AI workflows to capture unwritten rules, heuristics, and troubleshooting logic.
• Architect Scalable Frameworks: Build dynamic knowledge architectures that bridge rigid industry standards, proprietary operational reality, and ground‑truth physical telemetry.
• Enable Human‑Machine Interoperability: Design ontologies that are intuitive for human experts to validate and govern, yet mathematically rigorous enough to safely direct autonomous AI agents.
• Translate Semantics to Execution: Partner with AI developers to implement deterministic validation rules, advanced RAG architectures (e.g., GraphRAG), and knowledge‑as‑code paradigms to ground multi‑agent frameworks and prevent hallucinations.

What we are looking for

• Conceptual Modeling: Deep expertise in ontology design and graph paradigms (Semantic Web/RDF/OWL, Property Graphs/Neo4j, predicate logic, or hybrid Vector/GraphRAG architectures). Skill in the abstraction process itself is paramount.
• Expert Elicitation & Empathy: Systems thinker with high emotional intelligence, adept at engaging non‑technical subject matter experts to uncover tacit knowledge and honor their contributions.
• Dynamic Architecture: Experience designing living systems that manage versioning, data provenance, and continuous feedback loops to refine the model over time.
• The Bridge Builder: Proven ability to map unstructured reality to complex enterprise data standards (e.g., CIM, FIBO, HL7).
• Deterministic Thinker: Understand the limits of GenAI and build structural guardrails for safety‑critical physical environments.

Why join us?

• Apply semantic web principles at the cutting edge of enterprise AI, defining the rules of the world and transforming retiring engineers’ expertise into a living, safe, interactive system.
• Collaborate with a diverse, highly talented team in an open, laid‑back environment—remote or at one of our global centers.
• Enjoy flexible work schedules and work‑from‑home options to maintain work‑life balance.
• Benefit from continuing education, professional certification, and training across technical, soft skills, language, and communication.
• Receive competitive salaries, health and life insurance, short‑term and long‑term disability insurance, a matched 401(k) plan, flexible spending accounts, and paid time off and holidays.

Experience & Education Requirements

• Experience: 5+ years dedicated to data and knowledge architecture, semantic web technologies, or complex data ontology engineering, including 1‑2 years of direct experience integrating these structures with LLMs or GenAI pipelines.
• Domain Expertise: Proven track record in asset‑heavy industries (Energy, Utilities, Manufacturing, etc.) and familiarity with their IT/OT environments (e.g., AVEVA PI, SAP, Maximo).
• Education: Bachelor’s, Master’s, or PhD in Computer Science, Cognitive Science, Information Systems, Applied Mathematics, or a related field. Formal Logic, Philosophy, or Linguistics backgrounds are also highly encouraged if accompanied by a strong technical architecture transition.

What we offer

• GlobalLogic estimates the starting pay range for this role in the United States to be \$160K–\$230K, reflecting base salary only.
• We consider candidate qualifications, work experience, operational needs, travel/onsite requirements, internal equity, prevailing wage, responsibilities, and other market and business considerations when determining offers.
• GlobalLogic operates design studios and engineering centers worldwide, providing opportunities for international knowledge exchange.
• We are a Hitachi Group Company dedicated to driving sustainable societal impact through data and technology.