Logic20/20, Inc.

• Drive business growth in the Energy & Utilities industry • Build and maintain relationships with key clients • Collaborate with internal teams on strategic initiatives • Partner with Microsoft alliance team for co-selling opportunities

• Serve as a technical lead and advisor to development teams transitioning to AI-driven development • Enable adoption of agentic AI development practices across multiple engineering teams • Support implementation of AI development lifecycle/spec-driven development practices • Coach and mentor engineers on AI development best practices, tools, and frameworks • Deliver training sessions, workshops, and enablement programs for developers and technical leaders • Partner with stakeholders across IT, product engineering, and enterprise AI teams to align on strategy and execution • Help development teams move from traditional agile delivery to AI-first engineering approaches • Support development of AI engineering accelerators and reusable frameworks • Act as a liaison between technical teams and leadership, ensuring alignment and delivery outcomes

• Transform data into powerful insights capable of driving enlightened decision-making • Work closely with the client to understand their business needs • Frame those needs as statistical problems and solve them with leading-edge methodologies • Collaborate on projects that help clients spin their data into a high-performance asset

• Lead the development of computer vision models • Design and improve machine learning approaches in environments with limited training data • Explore and apply advanced techniques, including vision-language models (VLMs), synthetic data generation, and traditional data labeling workflows • Build and support solutions within an Azure-based development environment • Collaborate with cross-functional team members supporting the broader computer vision and data labeling effort • Serve as a trusted advisor and subject matter expert to clients by taking a hands-on approach in maturing the client's data science capabilities to create value within their business • Develop custom solutions to unique business problems using modern toolsets and platforms, including Python, SQL, Azure, and AWS • Participate in internal initiatives, such as interview support, client brainstorming, and POC development, to foster a culture of growth and collaboration

• Design and develop AI-driven applications, including single and multi-agent workflows • Build and maintain full-stack solutions (frontend and backend components) • Leverage AI tools and agentic coding practices to accelerate development • Develop orchestration logic for agent-based systems and workflows • Integrate LLM-based capabilities such as document processing, embeddings, and retrieval • Implement best practices for AI evaluations to ensure quality and prevent regressions • Contribute to and maintain CI/CD pipelines and deployment processes • Collaborate with architects and engineering leadership on solution design and standards • Continuously improve development practices and contribute to evolving AI engineering frameworks

• As a Cloud Architect, you’ll join Logic20/20’s Digital Strategy & Transformation team to influence and define cloud and microservices best practices, design patterns, and architectures. • Transform innovative concepts into practical solutions • Share and model expertise in the latest architectural methodologies • Communicate technical concepts to non-technical audiences • Ideate, design, and build solutions • Mentor team members and support their professional growth

• Own strategy and pipeline to drive growth • Prospect and build a book of business • Collaborate with Microsoft alliance team for co-selling opportunities

• Own strategy and pipeline for business development • Prospect and close deals in the Energy & Utility sector • Collaborate with Microsoft alliance team on joint accounts

• Drive critical initiatives while working with cutting-edge technologies in a fast-paced, exciting environment. • Support one or more work streams and multiple business teams. • Lead activities including gathering, analyzing, and documenting stakeholder requirements, and collaborate closely with technical teams. • Exercise understanding of work streams and business processes to identify pain points and help drive the successful implementation of requirements and processes. • Manage stakeholder expectations and coordinate knowledge management initiatives. • Identify opportunities for process optimization and continuous improvement across compliance and operational workflows.

• Collaborate closely with client stakeholders and internal teams, translating solution design into scalable, production‑ready Palantir Foundry implementations. • Design, build, and manage data pipelines in Palantir Foundry to ingest, process, and correlate real‑time data (streaming). • Hands-on Palantir solution architect during implementation, owning the on-the-ground architecture and supporting multiple teams during build-out and delivery. • Develop data assets and transformation logic using PySpark.