Salesforce Technical Architect, Data & AI
Listed on 2026-06-26
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IT/Tech
AI Engineer (Applied/Software), Data Engineering
Why Neura Flash, Part of Accenture:
At Neura Flash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever‑evolving digital landscape with cutting‑edge, tailored strategies.
We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and Neura Flash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post‑launch, we've earned the distinction of being Salesforce's #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.
Be part of the Neura Flash, Part of Accenture journey and help shape the next wave of AI‑powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI‑powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation you're ready to make your mark in the AI space, Neura Flash, Part of Accenture is the place for you.
As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will own end‑to‑end technical solutions that turn unified customer data into intelligent, AI‑powered experiences for our clients. You will collaborate with the rest of our talented AI and Data team to delight customers.
Responsibilities- Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real‑time activation, and the agent topics, instructions, and actions that consume that data.
- Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero‑copy / data federation strategies.
- Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
- Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
- Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well‑architected solutions.
- Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
- Define integration frameworks and reference architectures connecting Data 360, Mule Soft, enterprise data warehouses, and other systems using real‑time and batch patterns.
- Establish Dev Ops, source control, and CI/CD practices for data and AI solutions.
- Coach and mentor developers and junior architects, and stay up‑to‑date with new Salesforce products and technical capabilities.
- 6+ years of experience in application, data, or software development and architecture.
- 3+ years of hands‑on experience with the Salesforce Platform in a development or architecture role.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Hands‑on experience architecting and implementing Salesforce Data 360 (Data Cloud)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation.
- Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java).
- Experience designing data integration patterns across enterprise systems (Mule Soft, ETL/ELT tooling, data warehouses such as Snowflake, Big Query, or Redshift).
- Understanding of data modeling, governance, security, and privacy best practices.
- Experience with source control, branching/pull…
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