![]()
Job Title: Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance
Location: Plano, TX (Local candidates only. Hybrid, 3 days onsite per week required.)
Duration: Contract - 12 months
Pay Range: $73.67/hr (W2)
Job ID: 412083
About BCforward
BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Job Description
We are seeking an experienced Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance to serve as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The ideal candidate will demonstrate strong experience in AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance, with a proven ability to translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions while partnering closely with CIO architecture teams, platform engineering, security, and risk.
Responsibilities:
- Define enterprise AI architecture strategy, patterns, and reference architectures.
- Establish decision frameworks for AI platform selection, solution design, and deployment approaches.
- Develop governance models, standards, and guardrails for AI and agentic solutions.
- Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts.
- Align AI architecture with enterprise security, risk, compliance, and control requirements.
- Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation.
- Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight.
- Drive standards for deterministic, probabilistic, and hybrid automation models.
- Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows.
- Guide adoption of emerging AI interoperability standards and architectures, including MCP where applicable.
- Develop decision guidance for model selection, orchestration approaches, and AI solution architectures.
- Partner with platform teams to align enterprise AI capabilities with business and technology needs.
- Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures.
- Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval.
- Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities.
- Embed security through architecture patterns covering identity, access, data protection, and policy enforcement.
- Translate complex AI concepts into clear, actionable guidance for technical and business audiences.
- Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices.
- Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives.
- Promote responsible AI adoption through practical governance and architectural guardrails.
Required Skills & Qualifications:
- 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design.
- 8+ years architecting AI/ML, NLP, or advanced analytics solutions.
- 2+ years designing enterprise GenAI, RAG, and agentic AI solutions.
- Strong knowledge of LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures.
- Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, and Azure OpenAI or equivalents.
- Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns.
- Understanding of security, governance, privacy, and risk considerations for AI solutions.
- Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments.
- Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences.
Preferred Skills:
- Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards.
- Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot.
- Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures.
- Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures.
- Experience defining AI governance, model lifecycle management, and responsible AI practices.
- Experience operating in large-scale, highly regulated enterprise environments.
Why BCforward?
At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:
- Competitive compensation and benefits.
- Opportunities for growth with global clients.
- A supportive, inclusive culture that values innovation and people.
- Exposure to cutting-edge technologies and projects.
About Our Commitment
BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Interested? Apply Now!
If this sounds like the right opportunity for you, please apply with your most recent resume.
