Sitecore AI Architect
BCI~IT
Job Description
BCI-IT, Inc has an immediate opening for a Sitecore AI Architect to own the Sitecore platform, and its AI capabilities end to end for this engagement — architecture, implementation, and integration of AI-driven features into the Sitecore ecosystem. This is a hands-on (IC) Individual Contributor / Architect role with our client: you’ll be the single point of accountability for how Sitecore is architected, how content / personalization AI is integrated, and how the platform scales and performs in production, not a role that hands design off to separate implementation teams. We can work on a W2/1099 basis only. No C2C or subcontractors. Open for USC, Perm Resident, GC, OPT EAD/STEM. No H1 or sponsorship available. Role is hybrid with the need to be in the office 1-2 days a week. Candidates local to the NY/NJ area are preferred.
\n \nWhat You’ll Do
\n• Own the end-to-end architecture of the Sitecore platform for the project (XM Cloud, Content Hub, Experience Platform, or on-prem/hybrid Sitecore, as applicable)
\n• Design and implement AI-driven capabilities within Sitecore — content generation/assistance (e.g., Sitecore Stream), AI-powered personalization, recommendation engines, and search relevance
\n• Architect integrations between Sitecore and external AI/ML services (Azure OpenAI, AWS Bedrock, or similar), as well as internal data and APIs
\n• Define the content modeling, templating, and headless/composable architecture (JSS, Next.js, or similar) to support AI-enhanced experiences
\n• Design for performance and scale: caching strategy, CDN configuration, rendering strategy (SSR/SSG/ISR for headless implementations)
\n• Own DevOps and deployment architecture for Sitecore (Sitecore Cloud deployment pipelines, environment management, CI/CD)
\n• Establish governance around AI-generated content — quality control, brand/compliance guardrails, human-in-the-loop review workflows
\n• Define security, data privacy, and access control architecture, particularly around AI features that touch customer or proprietary data
\n• Collaborate directly with stakeholders, content teams, and engineering teams to translate business goals into technical architecture
\n• Mentor developers on Sitecore and AI integration best practices as the implementation team scales
\n \nRequired Qualifications
\n• 7+ years of experience with Sitecore, including architecture-level ownership of at least one large-scale implementation (not just development/configuration work)
\n• Hands-on experience with modern Sitecore products — XM Cloud, Content Hub, and/or Sitecore Experience Platform (XP) — and headless/composable architecture (JSS, Next.js)
\n• Demonstrated experience integrating AI/ML capabilities into a CMS or digital experience platform — content generation, personalization engines, recommendation systems, or AI-assisted search
\n• Experience with AI platforms such as Sitecore Stream, Azure OpenAI Service, AWS Bedrock, or comparable LLM/AI integration tooling
\n• Strong understanding of content architecture, taxonomy, and templating in support of both human- and AI-generated content
\n• Solid full-stack development background (C#/.NET for Sitecore backend; React/Next.js or similar for headless front end)
\n• Experience with cloud infrastructure and DevOps for Sitecore deployments (Azure or AWS), including CI/CD pipeline design
\n• Understanding of data privacy, security, and governance considerations specific to AI features in enterprise/regulated environments
\n• Excellent communication skills — this role represents architectural decisions directly to stakeholders and leads cross-functional implementation teams
\n• Sitecore certification(s) strongly preferred (e.g., Sitecore Certified Developer, XM Cloud certifications)
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