Enterprise Architect Job Buffalo area,New York USA,IT/Tech

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Enterprise Architect

Contract:

Buffalo, New York, US

Salary Range: 90.00 - 120.00 | Per Hour

Job Code: 369163

End Date:
Days Left: 27 days, 3 hours left

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Job Title: Enterprise Architect (AI & Intelligent Platforms)

Location: Remote Role (Occasional Travel to Buffalo, NY would be required
- Will be expected to travel to Buffalo, NY 14203 every 4-6 weeks, Monday through Thursday in the office, All expenses paid/reimbursed)

Duration: 06+ Months Contract Role + Extension
Client Domain: Banking/Financial

Pay Range: $90/hr. to $120/hr.

Job Description:

Enterprise Architect, AI & Intelligent Platforms

PURPOSE

Provide enterprise architecture leadership for AI, Generative AI, agentic systems, and intelligent platforms. This role defines the architectural foundation, governance, standards, and reference patterns required to scale AI safely, consistently, and strategically across the enterprise
This is not a delivery support role. It is an enterprise architecture authority accountable for aligning AI adoption with business strategy, enterprise capabilities, risk appetite, regulatory obligations, and long-term operating model transformation
The role establishes AI as a governed enterprise intelligence layer, embedded across platforms, processes, data, and decisioning, not deployed as isolated tools.

ROLE IMPACT

Shape enterprise AI architecture
Define target-state architecture for AI platforms, agents, data/context, integration, and operating model implications.
Establish guardrails and governance
Set standards, principles, reference architectures, and decision frameworks that enable safe, scalable AI adoption.
Enable business transformation
Translate business strategy into AI-enabled capability roadmaps that augment, automate, or rearchitect processes.
De-risk adoption
Ensure AI solutions meet requirements for security, privacy, model risk, resilience, explainability, auditability, and regulation.
Drive platform and model optionality
Guide decisions across MS AI Foundry, Azure OpenAI, M365 Copilot, OpenAI, Anthropic Claude, and other providers to balance value, cost, performance, and risk.

FUNCTION

The Enterprise Architect, AI & Intelligent Platforms, defines, governs, and evolves enterprise AI architecture in partnership with business, technology, data, cybersecurity, risk, privacy, compliance, and engineering teams
The role provides architectural leadership across LLMs, RAG, AI agents, Copilot extensibility, orchestration, governance, observability, and Responsible AI, ensuring alignment with enterprise capability models, data strategy, cloud strategy, integration architecture, and operating model evolution.

CORE RESPONSIBILITIES

Enterprise AI Architecture Strategy
Define and maintain the enterprise target-state architecture for AI and agentic systems
Establish principles, standards, and decision frameworks for enterprise-wide adoption
Translate business strategy into AI-enabled capability and investment roadmaps.

AI Platform Architecture

Define architecture for MS AI Foundry, Azure OpenAI, M365 Copilot, Copilot Studio, Azure AI Search, and third-party LLM platforms
Establish patterns for model orchestration, evaluation, guardrails, telemetry, cost, and lifecycle governance
Define when to use Copilot, Foundry-based workflows, custom agents, or external models.

Agentic Architecture

Define enterprise patterns for AI agents, multi-agent workflows, tool use, and human-in-the-loop controls
Establish agent governance, including registration, ownership, permissions, monitoring, auditability, and kill switches.

Context, RAG, and AI Ready Data

Define enterprise context and RAG architectures to ensure grounded, explainable, secure AI
Establish standards for AI-ready data, metadata, lineage, sensitivity, access, and provenance.

M365 Copilot & Enterprise Integration

Lead architecture for Copilot extensibility, Graph connectors, plugins, and enterprise integrations
Define patterns for access control, DLP, identity, and information protection in Copilot workflows.

Responsible AI, Risk, and Controls

Embed Responsible AI, model risk, cybersecurity, privacy, and regulatory controls into architecture patterns
Define…