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AI Architect
Location
United States
Posted
120 days ago
Salary
0
Seniority
Lead
Job Description
AI Architect
Info-Tech Research Group
• Define and maintain the enterprise AI architecture blueprint and reference models. • Evaluate and select AI platforms, frameworks, vector databases, LLMs, and tooling for application integration. • Provide architectural leadership for generative AI and agentic workflows in products and internal applications. • Establish patterns for retrieval augmented generation (RAG), model orchestration, and evaluation pipelines. • Partner with Data & Analytics to design end to end data flows that support AI workloads, including ingestion, transformation, storage, and retrieval patterns that ensure accuracy and performance. • Ensure AI solutions integrate cleanly with enterprise data ecosystems by defining standards for metadata, lineage, governance, and interoperability across operational systems, data pipelines, and analytical platforms. • Lead end-to-end architecture for AI powered features, including model integration, API design, data flows, and security controls. • Work with development teams to ensure AI components are modular, scalable, and resilient. • Guide teams in fine tuning, prompt engineering, model optimization, and inference best practices. • Oversee architectural reviews and provide hands-on technical support during implementation. • Partner with Security and Compliance teams to ensure AI systems follow responsible AI principles and risk controls. • Define processes for model monitoring, safety evaluations, versioning, data lineage, and auditability. • Ensure adherence to data privacy, intellectual property, and regulatory standards. • Advise the CIO, CTO, and senior leadership on emerging AI technologies and strategic opportunities. • Mentor developers and technical leads to build organizational capability in AI engineering. • Work cross-functionally with product management to translate business needs into AI architectural patterns. • Represent the Application Development team in AI governance and enterprise architecture forums. • Interface and knowledge share with domain experts in Research and Advisory groups.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field required.
- Master’s degree or beyond preferred.
- 8+years in software engineering or application architecture roles with at least two plus years focused on AI or machine learning.
- Hands-on experience with cloud-based AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience deploying LLM based solutions at scale.
- Strong background in APIs, and enterprise application design.
- Deep understanding of AI and ML concepts including LLMs, embeddings, vector search, supervised and unsupervised learning, and model lifecycle management.
- Proficiency with Python and one or more application development languages such as Ruby on Rails, C#, or Java.
- Experience with model orchestration frameworks, prompt engineering, and evaluation techniques.
- Familiarity with DevOps practices, CI/CD pipelines, and cloud infrastructure.
- Strong understanding of security, privacy, and responsible AI principles.
Benefits
- Opportunity to shape and scale the AI strategy
- Work directly with the Founder, CIO, CTO, senior technology leaders, and executive team as required.
- Build transformative AI capabilities that enhance products and internal platforms.
- Join a collaborative, high-performance Application Development team with a strong innovation mandate.
- Collaborate with world-class analysts who cover the AI space.
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