Lead AI Engineer responsible for designing, building, and shipping generative AI systems and agentic solutions for Bain’s clients.
Responsibilities
Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines such as Retrieval-Augmented Generation, fine-tuning, embedding generation, hybrid retrieval strategies, reasoning, tool use, and orchestration across AI workflows.
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration.
Contribute across the full stack: model experimentation, evaluation design, and production system deployment.
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability.
Requirements
Nice to have: French language proficiency at C1 level or higher
Nice to have: experience mentoring peers
Nice to have: experience with ReAct, RLAIF, and other HITL + feedback loops
Nice to have: experience with hybrid or graph-based retrieval approaches
Designing, developing, and testing the planning intelligence that coordinates inventory flow into the Symbotic system and customer order fulfillment.
Compensation
The base range for this position in the posted location is $96,000.00 - $185,000.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Design, develop, and test real-time, high-performance planning software for large-scale robotic systems, with scope spanning routing, tasking, inventory flow, and system design.
Build and optimize algorithms and services for multi-robot motion planning, task allocation, inventory-aware decision-making, and traffic management in dynamic warehouse environments.
Develop planning logic that coordinates behavior across software layers, connecting robot-level execution with fleet-level orchestration and higher-level system objectives.
Create simulation and modeling tools to validate planning strategies, stress-test edge cases, and evaluate system robustness, throughput, and operational trade-offs under realistic conditions.
Integrate planning solutions into production systems, analyze telemetry and performance data, and collaborate cross-functionally with robotics, perception, controls, cloud, operations, and systems engineering teams.
Requirements
Bachelor, Master or Ph.D. degree in Robotics, Computer Science, Electrical or Computer Engineering, or a related discipline
Senior Principal AI Software Engineer - IT Go-To-Market & Customer Experience
Lead the design and implementation of AI-driven enterprise applications, architecting next-generation generative AI solutions for Go-To-Market and customer experience processes.
Compensation
$223,000.00 - $306,500.00/yr
Responsibilities
Architect AI Gateway and unified API for LLMs
Design and implement observability pipelines for GenAI
Optimize cost and performance of LLM usage
Integrate guardrails for safety and compliance
Lead multi-agent system development
Requirements
Bachelor's degree in Computer Science or related field
A senior individual-contributor role acting as the technical authority guiding advanced AI across the commercial landscape—from traditional ML to Generative and agentic AI.
Responsibilities
Define and drive the technical vision, roadmap and architecture for traditional ML, Generative AI and agentic AI capabilities
Provide hands-on technical leadership to project teams; set design direction, review architectures and code, remove blockers
Lead the design of multi-agent systems and LLM applications, including orchestration, tool use, memory, guardrails and human-in-the-loop patterns
Establish standards for evaluation, including automated and human-in-the-loop methods, benchmarking, and quality gates
Drive approaches to fine-tuning, distillation and reinforcement learning (including RL from feedback)
Lead the design and governance of enterprise-wide Generative AI architecture, defining strategy, standards, and best practices for scalable, secure, and responsible AI solutions across cloud-native environments.
Responsibilities
Define enterprise-wide Generative AI architecture strategy, standards, and best practices
Design scalable and secure LLM-powered solutions using Azure OpenAI and Azure AI Services
Architect enterprise-grade RAG platforms leveraging vector databases, semantic search, and knowledge management systems
Design and govern Agentic AI ecosystems utilizing AI Agents, tool calling, orchestration, and autonomous workflows
Evaluate and select appropriate foundation models, embeddings, and multimodal architectures
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
Nice to have: Microsoft Certified: Azure Solutions Architect Expert
Nice to have: Microsoft Certified: Azure AI Engineer Associate
Nice to have: Microsoft Certified: Azure AI Fundamentals
Nice to have: Experience working with Fortune 500 enterprise AI transformation programs
We are looking for an experienced Senior Full Stack Engineer to design and implement scalable, production-ready solutions and integrate modern technologies such as LLMs, MCP, and agent-based frameworks into our platforms.
Responsibilities
Develop APIs and microservices for integration with internal and external systems
Build and deploy AI-powered features using LLMs (OpenAI, Azure OpenAI, Hugging Face).
Implement MCP-based integrations for context-aware workflows.
Create and orchestrate AI agents for automation and intelligent decision-making.
Write production-grade code for AI workflows, including prompt engineering, function calling, and agent orchestration.
We are looking for a Sales Engineer to build, implement and manage top standard SE strategy in an outstanding hyper-growth environment. In this role you’ll help our sales team to evangelize the power of Torq by assessing and understanding the technical business needs of our customers and prospects to help them achieve maximum value from our solution.
Locations (2)
North Carolina, United States
South Carolina, United States
Responsibilities
Provide outstanding and effective pre-sales technical expertise and sales engineering processes.
Lead the Sales Engineering team in following sales methodology and best practices, as well as ensuring proper use of CRM system
Partner with sales leadership and product groups to drive operational excellence and efficiency and meet quarterly and annual sales targets
Ensure accuracy and accountability with internal systems and tools
Provide technical guidance and support to the sales team, ensuring that they have the knowledge and tools needed to be successful
Senior AI Applications Engineer responsible for designing, implementing, and productionizing Generative AI solutions and traditional software applications within Chemours’ AI & Data Science team.
Responsibilities
Identify, design, and integrate Generative AI solutions into existing business workflows
Design, architect, implement, and productionize traditional software applications and GenAI agents
Partner with users and stakeholders to scope use cases and deliver intuitive UX
Lead high-impact initiatives across multiple business functions
Mentor junior developers and foster collaboration
Requirements
Degree in Computer Science or Computer Engineering
Lead AI Product Strategist develops and advances product strategies that apply artificial intelligence, machine learning, automation, and data capabilities to customer-facing products and internal product-development processes.
Compensation
Compensation range for this position is $100,000 to $130,000, depending on experience.
Responsibilities
Develop AI product strategies and roadmaps that align customer needs, business objectives, technology capabilities, and organizational priorities.
Identify and evaluate opportunities to integrate artificial intelligence, machine learning, intelligent decisioning, and automation into products and product-development processes.
Lead cross-functional AI product initiatives from discovery and problem definition through prioritization, implementation, measurement, and continuous improvement.
Design and optimize multi-stage workflows that transform structured and unstructured information into usable product insights, recommendations, and business decisions.
Experience with end-to-end process automation, AI assistants, agentic workflows, multi-agent systems, classification models, platform products, APIs, developer tools, payments, financial technology, or other regulated digital ecosystems.
Requirements
Bachelor’s degree in product management, business, information systems, computer science, data science, engineering, economics, or a related field; equivalent relevant experience may be considered.
Nice to have: Graduate degree, advanced coursework, or relevant certification in product management, artificial intelligence, data science, information systems, agile product development, or responsible AI.
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