Analyst , IT Business Analysis

AI Architect for Client Excellence (BDE) Office

Bill is ***
- *** depending on experience Hybrid 4 days on site in FLKS will review relo candidates who can be on site in 2 weeks. Extension possible. Possible Temp to Perm Candidate will have experience in DATA engineering, AI Modeling, Integration, will spend 60% of the time as an Architect and 40 % as a developer. Heavy Python, React, Data Bricks, AI agents.

The AI Architect for the Client Excellence (BDE) Office will be a hands-on technical leader responsible for designing, building, and scaling AI-enabled solutions that integrate across enterprise data sources to deliver actionable analytics, insights, and decision support. This role blends architecture, software engineering, and applied AI with a strong understanding of business operations, continuous improvement, and analytics.

This is not a strategy-only role. The ideal candidate can code, prototype, and deploy, while also defining scalable architectures and standards for AI across the BDE ecosystem.

· Design end-to-end AI architectures that integrate multiple enterprise data sources (structured and unstructured) into scalable, secure AI solutions.

· Define patterns for AI integration across platforms such as SharePoint, analytics tools, workflow systems, and internal applications.

· Ensure solutions align with enterprise security, data governance, and responsible AI standards.

· Actively develop and deploy AI solutions using modern programming languages and frameworks (e.g., Python, SQL, APIs, cloud services).

· Build data pipelines and connectors to ingest, refresh, and synchronize data automatically from source systems.

· Prototype and product ionize AI capabilities such as natural language querying, document intelligence, analytics copilots, and insight generation.

· Design and implement connectors to enterprise systems (e.g., repositories, learning systems, workflow tools, analytics platforms).

· Architect data flows that support near-real-time updates and minimize manual data maintenance.

· Partner with data engineering and analytics teams to optimize data models for AI use cases.

· Apply AI and advanced analytics to surface insights, trends, and leading indicators that support operational excellence and decision-making.

· Enable conversational and embedded analytics experiences where users can ask questions and receive AI-driven insights within their workflow.

· Support multilingual and global user needs where required.

· Enable AI solutions to be embedded within existing platforms and tools used across BDE.

· Design AI components that support persistent context, conversation history, and follow-up questions.

· Collaborate with product owners to integrate AI into dashboards, portals, and enterprise tools.

· Partner closely with BDE Office leaders, analytics teams, IT, and platform owners to translate business needs into technical solutions.

· Define best practices, reusable components, and technical standards for AI across the BDE ecosystem.

· Mentor developers and analysts on AI solution development and integration patterns.

· Strong hands-on software development experience (e.g., Python, APIs, SQL, cloud platforms).

· Proven experience designing and building AI or ML-enabled solutions end-to-end.

· Experience integrating multiple data sources via APIs, connectors, or data pipelines.

· Solid understanding of analytics architectures, data modeling, and insight generation.

· Experience deploying solutions in enterprise environments with security and governance considerations.

· Practical experience applying AI for:

o Analytics and insight generation

o Natural language interaction with data and documents

o Decision support and operational intelligence

· Understanding of model lifecycle, monitoring, and continuous improvement in production environments.

· 7+ years of experience in software engineering, data engineering, AI architecture, or related fields.

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