1. AI Platform Architect


Role Overview

We are looking for an AI Platform Engineer—a builder who can architect the “factory” where AI is made.

Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.

Key Responsibilities

  • Platform Architecture: Design and develop a “Model-as-a-Service” platform that allows non-experts to use drag-and-drop components to build AI solutions.
  • RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
  • Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
  • Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
  • Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
  • CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
  • Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.

Required Technical Skills

  • Expert Python: Deep, hands-on knowledge is mandatory.
  • Data Engineering: Extensive experience in massive data ingestion and processing.
  • RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies.
  • Platform Engineering: Proven experience building tools/platforms that other developers or business units use.
  • Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
  • DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines.

Experience & Qualifications

  • Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years)
  • Industry Knowledge: You must stay current with the “latest and greatest” in AI (e.g., rag-less inferencing, agentic frameworks).
  • Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.

Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.

2.  Senior Robotics Engineer, Perception/Computer Vision


About the Role

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role, you will develop perception features that enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization, and manipulation. This position combines artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

At ARC, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our organization provides the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring our robotic systems remain at the forefront of the industry.

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Key Responsibilities

  • Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
  • Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
  • Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
  • Develop offline tools to test and validate perception models in both simulation and real-world environments.
  • Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
  • Generate intellectual property, document results, and publish papers.

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Required Qualifications

  • Passion for robotics and a strong desire to accelerate the application of robotics with AI.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
  • 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
  • Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
  • Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.

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Preferred Qualifications

  • Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
  • Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
  • Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
  • Understanding of CI/CD pipelines and modern software development practices.

3. Lead AI Engineer


Responsibilities

  • Design, build, and deploy full stack applications using current stack (Python + React) while remaining language-agnostic
  • Architect secure, scalable systems with a strong emphasis on security, compliance, and best practices.
  • Lead and contribute to internal AI initiatives, including:
  • Supporting existing AI-enabled products
  • Designing and implementing new AI-driven solutions
  • Providing internal consulting on how teams can leverage AI
  • Use and evaluate a diverse set of AI developer tools (GitHub Copilot, Cursor, Claude)
  • Collaborate with cross-functional teams to rapidly scope, prototype, and deliver solutions
  • Serve as a technical thought partner to business units to identify opportunities where AI can improve efficiency, reduce risk, or enhance customer experience
  • Ensure all solutions meet security, compliance, and regulatory expectations, particularly in complex environments such as financial services
  • Build and integrate agentic systems powered by cutting-edge LLM and GenAI technologies
  • Work closely with AI Engineers to turn AI capabilities into production-ready enterprise solutions
  • Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks
  • Integrate GenAI models into full-stack applications and internal workflows
  • Collaborate on prompt engineering, fine-tuning, and evaluation of generative outputs
  • Build reusable components and services for multi-agent orchestration and task automation
  • Optimize AI inference pipelines for scalability, latency, and cost efficiency
  • Participate in architectural discussions, contributing to the technical roadmap

Required Skills & Qualifications

  • 7+ years of full stack development experience using programming languages like Python, JavaScript, Node.js, ReactJS
  • Experience with LLM frameworks, (LangChain, Bedrock Data Automation)
  • Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices
  • Working experience in Data Processing, AI-enabled workflows using Python
  • Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI
  • Deep understanding of LLMs, embeddings, vector databases
  • Experience with Docker, Kubernetes, and cloud-native deployment practices
  • Knowledge of AI observability, model monitoring, and cost optimization strategies
  • Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders
  • Experience working with distributed engineering teams

Nice to Have

  • Experience in financial services, especially with core banking systems or other highly complex, regulated domains
  • Deep familiarity with modern AI development patterns, prompt engineering, vector databases, embeddings, or retrieval pipelines
  • Experience with LLM orchestration, prompt management, and evaluation frameworks
  • Knowledge of data governance, security, and compliance in enterprise environments
  • Experience with cloud-native architectures and scalable AI platforms
  • Prior experience in consulting, internal enablement, or roles involving cross-functional evangelism

4. Sr SAP Utilities Consultant


We are actively looking for an experienced SAP Utilities Consultant with strong hands-on expertise in SAP IDEX (formerly SAP MPM / SAP APE), specifically supporting Utilities Choice / Market

Communication processes.

The consultant will work closely with business stakeholders and technical teams to support, configure, and enhance deregulated energy market processes.

Key Responsibilities

  • Design, configure, and support SAP IDEX / SAP MPM / SAP APE solutions for Utilities Choice functions
  • Handle market communication processes including enrollments, drops, switches, meter reads, billing determinants, and settlements
  • Configure and manage IDEX message processing, workflows, and exception handling
  • Work with EDI / IDOC / XML based market messages and resolve related issues
  • Collaborate with business teams, market operators, and third-party vendors
  • Support testing cycles (unit, integration, UAT) and production deployments
  • Provide production support and troubleshooting for SAP Utilities Choice processes
  • Prepare functional documentation and process flows

Required Skills & Experience

  • 8+ years of experience in SAP IS-U
  • Strong hands-on experience in SAP IDEX / SAP MPM / SAP APE
  • Deep understanding of Utilities Choice / Deregulated Energy Market processes
  • Experience with market roles (LDC, Supplier, ISO/RTO interactions)
  • Strong knowledge of EDI, IDOCs, and market messaging
  • Experience working in onsite, client-facing roles
  • Excellent communication and stakeholder management skills

Preferred / Nice to Have

  • Experience with US Utilities markets
  • Knowledge of SAP S/4HANA Utilities (IDEX on S/4 is a plus)
  • Prior experience working with electric or gas deregulated markets
  • Experience in large utility transformation programs
 

5. SAP Security & GRC Consultant


Responsibilities

  • Design and maintain SAP security roles & authorizations (ECC / S/4HANA)
  • Implement and support SAP GRC Access Control (ARA, ARM, BRM, EAM)
  • Perform SoD analysis, risk remediation, and access reviews
  • Manage user provisioning, role changes, and audit support
  • Work with business, functional, and BASIS teams
  • Support upgrades, implementations, and Go‐Live activities

Required Skills

  • 5+ years in SAP Security & GRC
  • Strong experience with SAP GRC 10.x/12.x
  • Hands-on with PFCG, SU01, SUIM
  • Experience with audits and SOX compliance
  • Good communication and documentation skills