AI Architect

About Info-Tech Research Group

Info-Tech Research Group delivers impartial, highly pertinent IT research, enabling CIOs and IT leaders to make well-informed, strategic decisions. We are currently serving over 30,000 professionals and collaborate closely with IT teams, equipping them with actionable tools and expert guidance to drive measurable results and enhance technology initiatives and organizational processes.

Why Join Us

• Opportunity to shape and scale the AI strategy for a growing research and advisory organization.
• 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.

Position Summary

The AI Architect is a senior technical leader responsible for designing, governing, and scaling AI solutions across the enterprise. This role provides architectural direction for machine learning, generative AI, and intelligent automation capabilities that integrate directly with customer-facing applications, internal platforms, and enterprise data systems.

The AI Architect partners closely with other domain specific architects, software development teams, data engineering, security, and product stakeholders to deliver high quality, secure, and high performing AI systems that align with the organization's technical strategy and standards.

Key Responsibilities

AI Strategy and Architecture

• 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.

Solution Design and Delivery

• 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.

Governance, Risk, and Security

• 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.

Collaboration and Leadership

• 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.

Operational Excellence

• Define performance benchmarks, cost optimization strategies, and operational metrics for AI services.
• Establish standards for observability, logging, testing, and ongoing evaluation of AI models.
• Drive continuous improvement by identifying technical debt and architectural refinements.

Qualifications

Education and Experience

• 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.

Technical Skills

• 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.

Soft Skills

• Excellent verbal and written communication skills with the ability to explain complex AI concepts to non-technical stakeholders.
• Commitment to considering user needs and perspectives when designing systems.
• Strong leadership presence and the ability to influence without authority.
• Collaborative mindset with a focus on delivering business value.
• High degree of curiosity, innovation, and a desire to stay current with rapid advancements in AI.

Key skills/competency

• AI Strategy
• Machine Learning
• Generative AI
• Solution Architecture
• Cloud AI Platforms
• LLMs
• Data Governance
• API Design
• DevOps
• Prompt Engineering