
Horizon3
Federal senior data engineer
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NeuraFlash, Part of Accenture
·8 days agoNeuraFlash, Part of Accenture
·8 days agoLocation
remote, MA, United States
Commitment
Full Time
Level
Senior (5+ years)
Why NeuraFlash, Part of Accenture:
At NeuraFlash, 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, AWS, 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 NeuraFlash, 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 NeuraFlash, 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 at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.
The Sr. AWS Developer — Products builds the AI backbone of Pulse, NeuraFlash's AI agent monitoring, insights & evaluation platform, and NeuraFlash Desktop for Amazon Connect, our contact center product suite. This is an AI product engineering role with contact center DNA: you ship the LLM pipelines, agentic services, and MCP surfaces that let customers monitor, evaluate, and improve their AI agents grounded in real contact center conversations flowing out of Amazon Connect.
The ideal candidate pairs strong Amazon Bedrock ecosystem experience with hands-on Amazon Connect knowledge, is proficient in Python or TypeScript/Node.js, and treats security, scalability, and deployment portability as first-class requirements. If you love building GenAI products for the contact center on AWS end-to-end, we'd love to talk to you!
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