Buzz Solutions Logo

Buzz Solutions

Solutions Engineer (AI/ML)

Reposted 10 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.
The summary above was generated by AI

About The Role: 

As a Solutions Engineer, at Buzz Solutions, you will play a pivotal role in driving the adoption of our AI-powered solutions, PowerAI and PowerGUARD, within the electric utility sector. This role combines pre-sales technical consulting (60%) and post-sales customer enablement (40%), ensuring a seamless experience from initial engagement through solution adoption through AI / ML based projects.

This is a high-impact role for someone who thrives on solving complex problems, loves working directly with customers, and enjoys strategic thinking and hands-on execution. You will be the face of Buzz Solutions for some of the nation’s largest utilities, guiding them through adopting and integrating our AI solutions. You will engage in deep business and technical discovery, creatively position our value in their workflows, and collaborate closely to maximize their success. We are looking for someone who is self-driven, resourceful, and eager to grow—someone who sees this role as an opportunity to demonstrate their expertise, shape the future of AI in utilities, and make a real industry impact. If you enjoy working on a mix of technical challenges, client engagement, and strategic problem-solving, we want to hear from you. 

Key Responsibilities 

Sales Support:

  • Gather customer requirements to understand and document our clients' needs and challenges.
  • Architect and demonstrate AI/ML-powered solutions that meet client needs, including computer vision, data ingestion, analytics, and API integrations
  • Collaborate closely with Account Executives to strengthen relationships and drive new business by leading the RFI/RFP process.
  • Lead the design and deployment of end-to-end ML and computer vision workflows and solutions for utility clients and their use cases
  • Collaborate with customer technical teams during deployment to ensure seamless integration, guide best practices, and optimize solutions for long-term success.
  • Develop tailored solutions that meet customer requirements. 
  • Complete Vendor Security Audits required by clients to ensure the security and compliance of our solutions with industry standards. 
  • Answer technical questions from clients regarding our technology, features, and solutions. 
  • Create compelling demos, visualizations, and technical presentations that clearly communicate the value of our AI-driven platform to both technical and non-technical audiences
  • Provide comprehensive training sessions with clients, both virtually and onsite.
  • Contribute to successfully implementing and integrating our solutions into clients’ workflows. 

Travel Requirements: 

  • This role includes periodic travel to client locations and industry events. Candidates should be prepared for travel that may vary in frequency and duration based on project requirements.
  • Travel will primarily be domestic (within the U.S.), with occasional international trips.
  • Candidates should be flexible and available for occasional short-notice travel to meet client and project deadlines.
  • All travel expenses, including transportation, accommodation, and meals, are covered by the company.
  • A valid passport is required, and candidates should be able to obtain any necessary visas for international travel. 

Minimum Qualifications: 

  • 5+ years of experience in a solutions engineering or sales engineering role, ideally 
    supporting AI/ML or data-driven software products
  • Proven track record of building and operationalizing AI/ML workflows and solutions
  •  Strong understanding of AI/ML concepts - neural network architectures, convolutional neural networks (detection, segmentation, classification based supervised learning
  • High-level proficiency with computers and business software, including CRM systems, presentation tools, and productivity software (e.g., Microsoft Office Suite, HubSpot, Canva, etc.)
  • Background working in and/or a solid understanding of cybersecurity and information security standards, including ISO 27001 and SOC2.
  • Proven ability to build and strengthen customer relationships, guiding them through technical discovery and solution adoption.
  • Excellent verbal and written communication skills to articulate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong problem-solving skills with the ability to understand customer needs and provide tailored solutions. 
  • Experience with scripting or automation (e.g., Python, VBA) to improve personal efficiency and productivity.

Bonus Skills: 

  • Experience selling, buying, or integrating Esri products like ArcGIS.
  • Experience working in the Electric Utility Industry or Power Engineering Industry.
  • Experience working as a field technician or field engineer in the utility industry, especially as a substation technician, utility inspector, or lineman.

Similar Jobs

14 Days Ago
Remote or Hybrid
109K-185K Annually
Senior level
109K-185K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Design, develop, and deploy end-to-end machine learning and large language model solutions. Perform data discovery, cleaning, preprocessing, and visualization. Build/train LLMs and Agent+RAG systems, collaborate with stakeholders and AI teams, and apply graph-based analysis to support enterprise integration and analytics.
Top Skills: Agent+RagSparkAWSAws GlueAzureCi/CdDataikuDockerGraph AlgorithmsGraph DatabasesLangchainLarge Language ModelsPower BIPythonPyTorchRScikit-LearnTableauTensorFlow
28 Days Ago
Remote
USA
Senior level
Senior level
Artificial Intelligence • Machine Learning
Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.
Top Skills: Agent FrameworksAWSAzureGCPKubernetesLlmsMlopsPythonVector Dbs
5 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
116K-137K Annually
Senior level
116K-137K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Owns Motive’s full-funnel B2B content strategy, including thought leadership, research, customer stories, executive content, and long-form editorial. Leads programs from opportunity identification through production, distribution, optimization, and measurement. Partners with marketing, sales, communications, SEO, brand, customer, and executive teams to align content with audience, brand, pipeline, and enterprise buying goals. Builds scalable, AI-enabled content processes and establishes editorial standards.
Top Skills: Artificial Intelligence

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account