ai engineering manager

McCain Foods

<p></p><div><p><b>Position Title: </b>Sr AI Eng Manager, Data AI Analytics</p><p><b>
Position Type:</b> Regular - Full-Time
</p><p><b>Requisition ID:</b> 41091</p><p></p><p><br>
Our Global Technology team&rsquo;s goal is to leverage technology and data to drive profitable growth, focus on enhancing customer experience and to further our purpose of '<b><i>Celebrating real connections through delicious, planet-friendly food</i></b>'. McCain has embarked on an ambitious digital transformation across our business from Agriculture to Manufacturing and commercial capabilities to enhance our Customer obsession. As part of this transformation, we are making significant investments into our digital platforms, technology transformations and in building a data driven culture. We are building digital products for our customers, suppliers/growers, and McCain team members to enable digital processes and data-driven automation. Through our investments, we will transform McCain into a company that empowers our teams with easy-to-use systems which will help them collaborate better, be productive and make data driven decisions. Will you be part of this exciting journey?</p><p></p><p><br>
Our Global Technology team&rsquo;s goal is to inspire growth through innovative use of technology and data. McCain has</p><p>
embarked on an ambitious digital transformation across our business from Agriculture, Manufacturing, Supply Chain to how we serve our customer and consumers.</p><p><b>
Overview</b></p><p>
McCain seeks a visionary, hands-on Senior Engineering Manager to lead our Infrastructure AI, Automation &amp; Tools team. This pivotal role blends the latest in Agentic AI, cloud-native platforms, automation, and advanced developer tooling. You will be responsible for establishing the intelligent automation backbone for McCain&rsquo;s digital transformation, focusing on resilient global infrastructure and seamless integration with business processes.</p><p></p><p><b><br>
The Sr Engineering Manager - Infrastructure AI, Automation &amp; Tools, is a critical hands-on technical Enginnering leadership role in driving McCain&rsquo;s 2030 strategy, enabling digital transformation and modernization of Infrastructure Engineering with AI First, Automation first mindset across the enterprise.</b> This Engineering leader will transform global IT infrastructure services with GenAI, and Agentic AI. This role require deep hands-on skills and not a people manager role, however they will have a team of bright engineers from IITs/BITS woking with them.</p><p><b>
This role will embed AI/ML/GenAI/Agentic AI first automation approach in Infrastructure transformation tracks, Cloud, DevOps, Site Reliability Engineering (SRE), observability, AIOps, and Service Now areas to bring autonomous Enginenering into the DNA of Infrastructure Engineering and Operations</b>. A strong AI and Automation first, background is essential.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li><b>
Strategic Technical Leadership:</b> Provide technical direction and leadership to a cross-functional engineering team specializing in Infrastructure AI, cloud solutions, automated operations, and developer tooling. Cultivate a high-performance, innovation-driven culture.</li><li><b>
Agentic AI Enablement:</b> Architect, deploy, and scale Agentic AI systems that perform adaptive, autonomous operations&mdash;including multi-agent coordination, intelligent decision-making, and proactive remediation&mdash;across cloud and hybrid environments.</li><li><b>
Developer Tools Innovation:</b> Lead the creation and integration of intelligent developer tools (e.g., code assistants, automated testing, observability integrations) to increase engineering productivity and software reliability.</li><li><b>
ITSM &amp; DevOps Integration:</b> Engineer seamless, automated integrations between ServiceNow (ITSM/ITOM) and Jira (Agile/DevOps), enabling bi-directional workflow automation for incident, change, and problem management. Ensure traceability, auditability, and governance across digital operations.</li><li><b>
AI Orchestration &amp; Event Automation:</b> Implement and champion the adoption of AI orchestration tools (such as Airflow, Kubeflow, Azure ML Pipelines) to automate, monitor, and manage distributed agent workflows, data pipelines, and ML operations. Integrate orchestration platforms with observability and incident management for true event-driven automation.</li><li><b>
GenAI &amp; Agentic AI&ndash;Driven Autonomous Operations: </b>Deploy autonomous IT operations powered by GenAI and Agentic AI across all infrastructure domains. Champion and partner with vendors and internal teams to accelerate automation of IT operations using GenAI and operational Agentic agents. Integrate GenAI into ServiceNow ITSM for automated incident, request, and change workflows. Apply AI-driven automation to network operations for predictive performance, anomaly detection, and self-healing.</li><li><b>
Collaboration &amp; Stakeholder Engagement:</b> Partner closely with cybersecurity, data science, enterprise architecture, operations, and business leaders to ensure AI and automation initiatives are business-aligned, secure, and deliver tangible value.</li><li><b>
Program Management Rigor:</b> Apply rigorous project management discipline&mdash;enforcing stage gates, entry/exit criteria, and structured feedback&mdash;to ensure high-quality delivery and continuous improvement across multiple parallel initiatives. Build a culture of automation-first, AI-augmented, and customer-centric service delivery.</li></ul><p>
Establish strategic partnerships with vendors focused on GenAI, Agentic AI, and next-generation automation.</p><p></p><p><b><br>
Key Technical Skills &amp; Experience</b></p><ul><li><b>
Agent-oriented programming, multi-agent system design, and agent orchestration frameworks</b> (BDI architectures, event-driven agent models)</li><li><b>
Reinforcement learning, generative AI models (LLMs),</b> causal/predictive modeling for autonomous infrastructure optimization</li><li><b>
Advanced proficiency with AI orchestration and workflow</b> tooling (Airflow, Argo, Prefect, Azure ML Pipelines, Kubeflow)</li></ul><ul><li><b>
Delivering Agentic AI solutions in production</b> (multi-agent collaboration, automated remediation, autonomous diagnostics)</li><li><b>
Programming Expertise:</b> Advanced proficiency in Python (preferred) or Go, with working knowledge of Java and/or C++ for scalable AI agent and LLM/SLM system development.</li><li><b>
AI/ML Model Development:</b> Deep understanding of machine learning fundamentals, including supervised and unsupervised learning, model training, tuning, and evaluation.</li><li><b>
Expertise in developing, deploying, and fine-tuning LLMs/SLMs</b> using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).</li><li><b>
Experience with prompt engineering, retrieval-augmented generation (RAG),</b> model quantization, and optimization for resource-constrained deployments.</li><li><b>
Natural Language Processing (NLP):</b>Hands-on experience with tokenization, entity recognition, text classification, semantic search, and conversational AI system design. Familiarity with leading NLP libraries (spaCy, NLTK, Hugging Face).</li><li><b>
Agentic AI &amp; Orchestration:</b>Demonstrated ability to design and build agent-based solutions, including agent workflow planning, multi-agent coordination, and memory management. Proficient in orchestration platforms/frameworks such as LangChain, CrewAI, AutoGen, RooCode, or similar for managing agentic workflows and task automation.</li><li><b>
Experience developing knowledge graphs, ontologies</b>, and reasoning algorithms to support agent autonomy and explainability.</li><li>
Familiarity with chain-of-thought prompting, error recovery, multi-agent collaboration, and emerging protocols (MCP, A2A) for agentic communication.</li><li>
Commitment to staying current with industry trends (via research, courses, developer blogs), and to thorough documentation for reproducibility and knowledge sharing.</li></ul><ul><li>
Experience with Git-based version control, GitHub CI/CD automation, and responsible AI practices.</li><li>
Integrating ITSM (ServiceNow) with DevOps (Jira) and operational event feeds for real-time, closed-loop automation. Expert in ServiceNow-Jira integrations for automated ITSM and DevOps workflows, leveraging platforms such as IntegrationHub, Exalate, custom API/webhook solutions</li><li>
Experience in Azure Devops to Jira Plugins and integrations</li><li>
Deploying and scaling AI orchestration tools for enterprise ML/Ops, agent scheduling, or large data pipeline automation</li></ul><p><i>
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.</i></p><p></p><p><i><br>
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please </i><i>let us know</i><i> and we will work with you to find appropriate solutions.</i></p><p></p><p><i><br>
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain&rsquo;s </i><i>Global Privacy Policy</i><i> and </i><i>Global Employee Privacy Policy</i><i>, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled </i><i>here</i><i>.</i></p><p></p><p><b><br>
Job Family: </b>Information Technology
<br>
<b>Division: </b>Global Digital Technology<br>
<b>Department: </b>Global AI Engineering India
<br>
<b>Location(s):</b> IN - India : Haryana : Gurgaon</p><p><b>
Company: </b>McCain Foods(India) P Ltd</p></div>

Sr AI Eng Manager, Data AI Analytics

Deloitte

<div></div><div><div><div><div><div><div><div><div><div><b>Artificial Intelligence &amp; Engineering</b></div><div></div><div><br>
AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.</div><div>
Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.</div><div></div><div><b><br>
Position Summary</b></div><div></div><div><b><br>
Level</b>: Manager</div><div></div><div><br>
As a Manager at Deloitte Consulting, you will oversee the technical delivery of enterprise-scale software solutions, lead cross-functional and global teams and mentor junior members. You will collaborate to understand functional requirements, support sales and proposal efforts, and drive end-to-end project delivery, including estimation and planning, to ensure successful outcomes.</div><div></div><div><b><br>
Work you&rsquo;ll do:</b></div><div></div><div><br>
Collaborate with the functional team and client to thoroughly understand business requirements. Oversee technical delivery by providing architectural and implementation recommendations. Lead documentation efforts, ensuring adherence to standards and best practices. Direct the design and development of solutions, ensuring timely delivery according to project plans. Work closely with project leadership to identify and escalate potential risks and prepare status reports. Mentor junior team members and facilitate communication between various teams within the engagement. Respond to proposals by providing accurate estimations and technical input, supporting the overall success and alignment of project objectives with client needs.</div><div></div><div><b><br>
The team:</b></div><div></div><div><br>
AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.</div><div></div><div><br>
AI &amp; Data professionals will work with our clients to:</div><div><ul><li>
Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing</li><li>
Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions</li><li>
Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.</li></ul></div><div><b>
Qualifications</b></div><div></div><div><b><br>
Must Have Skills/Project Experience/Certifications:</b></div><div><ul><li>
10-15 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling</li><li>
Lead a 3&ndash;5-member team on multiple ends to end DS/ML projects</li><li>
Excellent communication and client/stakeholder management skills</li><li>
Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.</li><li>
Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.</li><li>
Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI</li><li>
Model deployment on Cloud or On-prem will be an added advantage</li><li>
Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)</li><li>
Lead and deliver large-scale DS/ML end to end projects across multiple industries and domains</li><li>
Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements</li><li>
Lead a team of Data Engineers, ML/AI Engineers, DevOps, and other Data &amp; AI professionals to deliver projects from inception to implementation</li><li>
Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.</li><li>
Assist and participate in pre-sales, client pursuits and proposals</li><li>
Drive a human-led culture of Inclusion &amp; Diversity by caring deeply for all team members</li></ul></div><div><b>
Good to Have Skills/Project Experience/Certifications:</b></div><div><ul><li>
Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML</li><li>
AI/Cloud certification from a premier institute is preferred.</li></ul></div><div><b>
Education:</b></div><div><ul><li>
BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
</li></ul></div><div><b>Location:</b></div><div><ul><li>
Bengaluru/Hyderabad/Pune/Chennai/Kolkata</li></ul><div>
#AI&amp;D_Architect</div></div></div><div>
</div></div><div></div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 304412</p></div></div></div></div>

Specialist Master-Machine Learning

<div></div><div><div><div><div><div><div><div><div><div><div><b>Artificial Intelligence &amp; Engineering</b></div><div></div><div><br>
AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.</div><div>
Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.</div><div></div><div><b><br>
Position Summary</b></div><div></div><p><b><br>
Level: </b>Manager</p><p></p><p><br>
As a Manager at Deloitte Consulting, you will oversee the technical delivery of enterprise-scale software solutions, lead cross-functional and global teams and mentor junior members. You will collaborate to understand functional requirements, support sales and proposal efforts, and drive end-to-end project delivery, including estimation and planning, to ensure successful outcomes.</p><p></p><p><b>
Work you&rsquo;ll do:</b></p><p></p><p>
Collaborate with the functional team and client to thoroughly understand business requirements. Oversee technical delivery by providing architectural and implementation recommendations. Lead documentation efforts, ensuring adherence to standards and best practices. Direct the design and development of solutions, ensuring timely delivery according to project plans. Work closely with project leadership to identify and escalate potential risks and prepare status reports. Mentor junior team members and facilitate communication between various teams within the engagement. Respond to proposals by providing accurate estimations and technical input, supporting the overall success and alignment of project objectives with client needs.</p><div></div><div><b><br>
The team:</b></div><div></div><div><br>
AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.</div><div></div><div><br>
AI &amp; Data professionals will work with our clients to:</div><div><ul><li>
Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing</li><li>
Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions</li><li>
Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.</li></ul></div><div><b>
Qualifications</b></div><div></div><div><b><br>
Must Have Skills/Project Experience/Certifications:</b></div><div><ul><li>
10-15 years of relevant consulting, industry or technology experience</li><li>
Experience in software development, professional services, solution engineering, and technical consulting with expertise in architecting and rolling out new technology and solution initiatives.</li><li>
Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software.</li><li>
Experience in GCP Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics</li><li>
Experience with core Data Science techniques such as regression, classification or clustering, and experience with deep learning frameworks (such as TensorFlow, Torch, Caffe, Theano, etc).</li><li>
Develop a direction to manage the portfolio of to-be solutions in alignment with business outcomes</li><li>
Identify problem areas, perform root cause analysis of architectural design and provide relevant solutions to the problem</li><li>
Enable delivery teams and act as mentor by providing optimal delivery solutions with automations and frameworks for improved productivity</li><li>
Implement proof of concepts to validate cloud concepts, architecture and requirements and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).</li><li>
Develop a direction to manage the portfolio of to-be solutions in alignment with business outcomes</li><li>
Identify problem areas, perform root cause analysis of architectural design and provide relevant solutions to the problem</li><li>
Enable delivery teams and act as mentor by providing optimal delivery solutions with automations and frameworks for improved productivity</li><li>
Implement proof of concepts to validate cloud concepts, architecture and requirements.</li><li>
Knowledge of cloud computing includes virtualization, hosted services, multi-tenant cloud infrastructures, storage systems and content delivery networks.</li></ul></div><div><b>
Good to Have Skills/Project Experience/Certifications:</b></div><div><ul><li>
Applied experience with machine learning on large datasets.</li><li>
Experience working with statistical packages (R, SAS, Stata, MATLAB, etc.), and in working with datasets (SQL).</li><li>
Google Certified Professional</li></ul></div><div><b>
Education:</b></div><div><ul><li>
BE/B.Tech/M.C.A./M.Sc degree or equivalent from accredited university
</li></ul></div><div><b>Location:</b></div><div><ul><li>
Bengaluru/Hyderabad/Pune/Chennai</li></ul><div>
#AI&amp;D_Architect</div></div></div></div><div>
</div></div><div></div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 321571</p></div></div></div></div>

Specialist Master-GCP Architect

Ritchie Bros.

<div></div><div><div><div><div><div><div><div><p>ABOUT US</p>
<div><div>Ritchie Bros. (NYSE and TSX: RBA)</div><br>
<p>
<br>
</p><p>Ritchie Bros. (NYSE and TSX: RBA) is a global asset management and disposition company, offering customers end-to-end solutions for buying and selling used heavy equipment, trucks and other assets in numerous industries including construction, transportation, agriculture, energy, oil and gas, mining, and forestry. Our mission is to create compelling business solutions for the world's builders to easily and confidently exchange equipment. Learn more about us at: https://www.ritchiebros.com/
</p></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>JOB DESCRIPTION</p>
<div><div>The <b>Software Engineering Manager </b>will lead a new <b>Product Engineering</b> team tasked with designing and building the next generation of <b>Agentic AI-powered products</b> for SmartEquip. While the core focus is product delivery, this team is pioneering SmartEquip&rsquo;s AI-native ecosystem. Therefore, this highly technical, hands-on leader will architect the robust agent platform and backend microservices, while building the foundational end-to-end product platform required to scale, verify, deploy, secure, and monitor AI agents.</div>
<ul>
<li><b>Key Responsibilities:</b>
<ul><li><b>Product &amp; Team Leadership:</b> Manage multiple Product Engineering projects and a cross-functional engineering staff, including Python backend engineers, AI engineers, and Test Automation engineers.</li>
<li><b>Architectural Ownership:</b> Architect, design, code, review and guide the team in developing scalable, efficient, and performant code for both the Agentic AI products, the backend microservices that power them, and the underlying platform required to scale and secure them.</li>
<li><b>AI-Native Development</b>: Champion an AI-first approach by deeply integrating autonomous coding agents into the team's daily workflows and SDLC.<br>
Intelligent Systems: Lead the development of intelligent retrieval systems&mdash;from RAG pipelines to agentic architectures that reason across multiple data sources.</li>
<li><b>Pipeline &amp; Deployment</b>: Work closely with DevOps/SRE to plan, shape, and own the team's end-to-end delivery process, ensuring robust deployment and monitoring for production AI and microservice systems.</li>
<li><b>Strategic Tooling</b>: Evaluate and select the right agentic frameworks (e.g., LangGraph, CrewAI, MCP, Google ADK, A2A, Agent Stack) and tools, partnering with SmartEquip technical leadership. We prioritize a deep foundational understanding of AI ecosystems and model behaviors over transient framework hype, ensuring engineers are efficient and proactive.</li>
<li><b>Verification &amp; Security</b>: Build automated test and verification pipelines tailored for AI systems, operating with an accuracy-first mindset to manage hallucination risks and ensure secure data access.<br>
</li></ul></li><li><b>Skills and Experience:</b>
<ul><li><b>Engineering Leadership:</b> At least 3 years of experience managing engineers, with a proven ability to independently architect, problem-solve, and develop robust solutions.</li>
<li><b>Technical Stack:</b> Polyglot full-stack background with in-depth, hands-on production expertise in Python. Proven experience building scalable backend microservices and RESTful APIs using frameworks like Django or Flask.</li>
<li><b>Modern Frameworks &amp; Libraries:</b> Highly knowledgeable in popular Python ecosystems, with specific expertise in data validation and API frameworks like Pydantic and FastAPI, which are critical for agent data structuring.</li>
<li><b>AI &amp; Agentic Mastery</b>: Deep experience with context engineering, designing agentic architectures, and building automated agent delivery pipelines. Proven ability to build, secure, and monitor production-ready retrieval systems (RAG). Extensive experience using and directing autonomous coding agents is expected.</li>
<li><b>Cloud Infrastructure: </b>Experienced working with cloud platforms (GCP, AWS) and deploying AI workloads at scale, with specific preference for AI cloud platforms like Vertex AI.</li>
<li><b>Quality &amp; Verification</b>: Experienced with Test Automation and a strong understanding of how to build automated verification for AI outputs where accuracy has serious consequences.<br>
</li></ul></li><li><b>Expected Outcomes (First 12 Months):</b>
<ul><li>The first year will establish the technical and process foundation for SmartEquip's Agentic AI ecosystem.</li>
<li>Define the Standard: Build the AI SDLC and establish the Agentic AI development standards and guidelines for your team.</li>
<li>Build the Foundation: Architect and implement the end-to-end delivery platform needed to build, scale, verify, and secure our new AI agents and their corresponding services.</li>
<li>Deliver the Product: Successfully launch the MVP of SmartEquip's first Agentic AI product.</li>
<li>Operationalize AI: Establish a robust, AI-native CI/CD pipeline and monitoring system in close partnership with the SRE team.</li></ul></li></ul></div></div></div></div></div></div></div></div><div></div>
<br><ul><div><div>Job Identification</div>
<div>8560</div>
</div><div><div>Posting Date</div>
<div>03/03/2026, 05:01 PM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>8383 Wilshire Blvd, Beverly Hills, CA, 90211, US
</div></div>(Remote)
</div></div><div><div>Degree Level</div>
<div>No Formal Education</div>
</div><div><div>Job Schedule</div>
<div>Full time</div>
</div><div><div>Minimum Salary</div>
<div>129,570</div>
</div><div><div>Maximum Salary</div>
<div>161,915</div></div></ul>

Manager, Software Engineering

Uber

<div><b>About the Team</b>
<br>
<br>
The Maps Search team powers location search and discovery across Uber's ecosystem - enabling pickup and dropoff location search &amp; recommendations for Rides, Eats and other lines of business. This is a full-stack, high-impact team building cutting-edge ML models for retrieval and ranking, planet-scale distributed systems operating at ultra-low latency, and seamless mobile experiences that define how users discover places and interact with the map. Search is a mission-critical surface that directly impacts conversion, reliability, and consumer growth.
<br>
<br>
<b>About the Role</b>
<br>
<br>
As the Senior Engineering Manager, you will lead the entire Maps Search organization (~20 engineers and managers across San Francisco and Toronto at present). This exciting role sits at the intersection of ML/AI innovation, distributed systems, and user experience. Your leadership will directly influence business growth and reliability of one of Uber's most critical entry points.
<br>
<br>
<b>What You'll Do</b>
<ul><li>Partner deeply with Product, Applied Science, and other teams at Uber to define strategy &amp; drive execution on company-critical initiatives.
</li><li>Set the multi-year technical vision and strategy for Maps search and recommendations across Uber
</li><li>Raise the bar on ML innovation and platform reliability at global scale
</li><li>Build and mentor a strong bench of engineering leaders (EMs &amp; Tech leads).
</li></ul><b>Basic Qualifications</b>
<ul><li>10+ years of software engineering experience, including significant experience building or leading ML/AI or optimization-driven systems
</li><li>5+ years of engineering management experience, including managing managers or tech leads
</li><li>Experience leading multi-disciplinary teams (backend services + ML/AI required; mobile experience a plus)
</li><li>Track record of leading mission-critical, consumer-facing products or platforms in close partnership with cross-functional stakeholders
</li><li>Demonstrate experience in developing and retaining high-performing engineering teams.
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience leading large-scale search, ranking, retrieval, or recommendation systems in production
</li><li>Experience taking search or recommendation products from early prototypes to scaled, consumer-facing platforms
</li><li>Demonstrated ability to influence product and business strategy beyond immediate organizational scope
</li><li>Experience leading multi-geography engineering organizations
</li>Strong track record of hiring, mentoring, and developing senior engineering leaders (EMs, Staff+ engineers)<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr Engineering Manager, Maps Search

Greenway Health

<div><b>You Belong at Greenway</b>
<p>
Bring your best and truest self. We celebrate what makes us different and what brings us all together. At Greenway Health, we are committed to an inclusive environment and a culture of belonging as we pursue our purpose of healthier communities, successful providers, and empowered patients. We are united in our goal to build the future of healthcare technology. Join us.</p>
<p>Job Description</p>
<div>
<div><div><div><p>Job Title</p><br>
</div><div><p>Manager, Product Development &ndash; Data Engineering/AWS/AI</p><br>
</div><div><p>Date</p><br>
</div><div><p>2/02/2026</p><br>
</div></div><br>
<div><div><p>Reports To</p><br>
</div><div><p>VP, Product Development</p><br>
</div><div><p>EEO Category</p><br>
</div><div><p>First/Mid Offs &amp; Mgrs.</p><br>
</div></div><br>
<div><div><h2 class="jobSectionHeader"><b>Organization</b></h2><br>
</div><div><p>Product Development</p><br>
</div><div><p>FLSA</p><br>
</div><div><p>Exempt</p><br>
</div></div><br>
</div></div><p></p><h1 class="jobSectionHeader"><b>Job Summary</b></h1>
<h1 class="jobSectionHeader"><b>The Engineering Manager, Data Lakehouse &amp; AI Engineering is responsible for leading the architecture, technical design, engineering execution, and operational excellence of Greenway&rsquo;s AWS-based Data Lakehouse platform.</b></h1>
<h1 class="jobSectionHeader"><b>This role provides technical leadership across multiple scrum pods (2&ndash;4 teams of 4&ndash;5 engineers each) and establishes engineering best practices across all phases of the software development life cycle. The incumbent will drive high-quality, scalable, secure, and cost-efficient data solutions while leveraging AI-powered engineering tools to improve productivity, automation, and code quality.</b></h1>
<h1 class="jobSectionHeader"><b>This position combines deep technical expertise with strong people leadership, stakeholder management, and strategic vision to ensure alignment between engineering execution and business objectives.</b></h1>
<h1 class="jobSectionHeader"><b>Essential Duties &amp; Responsibilities</b></h1>
<ul><li>Provide architectural leadership and technical oversight for the AWS-based Data Lakehouse platform, ensuring scalability, security, reliability, and cost optimization.</li></ul>
<ul><li>Develop and enhance architectural design frameworks to ensure high-quality, compliance, and performant data systems aligned with business objectives.</li></ul>
<ul><li>Lead technical design reviews, architecture reviews, and code quality initiatives (Gerrit-based workflows).</li></ul>
<ul><li>Establish and enforce best practices across:</li></ul>
<p>
Infrastructure as Code (Terraform)</p>
<p>
CI/CD pipelines</p>
<p>
Automated testing and quality engineering</p>
<p>
Data governance and security standards</p>
<p>
Non-Functional Requirements (NFRs): scalability, availability, resiliency, observability, and performance</p>
<ul><li>Ensure effective deployment of AWS technologies including but not limited to S3, Glue, EMR, Redshift, Athena, Lambda, ECS/EKS, IAM, VPC, CloudWatch, and relevant AI services such as Bedrock and SageMaker.</li></ul>
<ul><li>Drive AI-assisted engineering practices using tools such as GitHub Copilot, Claude, ChatGPT, MCP, and other emerging technologies to improve development efficiency, automation, and documentation quality.</li></ul>
<ul><li>Implement guardrails and governance for responsible AI usage within engineering teams.</li></ul>
<ul><li>Provide leadership, vision, and strategy to ensure daily operations of development teams align with both present and long-term business goals.</li></ul>
<ul><li>Manage technically focused scrum teams across multiple locations, ensuring predictable and high-quality delivery.</li></ul>
<ul><li>Partner closely with Product, Analytics, Data Science, Security, and business stakeholders to translate requirements into scalable technical solutions.</li></ul>
<ul><li>Drive cloud cost optimization and efficiency initiatives (FinOps mindset).</li></ul>
<ul><li>Mentor, coach, and develop engineering talent; build succession plans and foster a high-performance culture.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Experience</b></h2>
<ul><li>Minimum 10 years of progressive experience in software or data engineering.</li></ul>
<ul><li>3&ndash;5+ years of experience leading engineering teams in a managerial capacity.</li></ul>
<ul><li>Proven experience designing and implementing Data Lakehouse architecture on AWS.</li></ul>
<ul><li>Experience managing multiple scrum teams (2&ndash;4 pods preferred).</li></ul>
<ul><li>Experience driving technical strategy and engineering standards across distributed teams.</li></ul>
<h2 class="jobSectionHeader"><b>
Education</b></h2>
<ul><li>Bachelor&rsquo;s degree in computer science or related field required.</li></ul>
<ul><li>Master&rsquo;s Degree preferred</li></ul>
<h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2>
<ul><li>Strong understanding of distributed systems and large-scale data platforms &amp; data Lakehouse architecture.</li></ul>
<ul><li>Deep experience with AWS cloud architecture and services.</li></ul>
<ul><li>Strong hands-on experience with Infrastructure as Code (Terraform).</li></ul>
<ul><li>Experience with Gerrit or comparable enterprise code review systems.</li></ul>
<ul><li>Strong understanding of distributed systems and large-scale data platforms.</li></ul>
<ul><li>Experience implementing CI/CD, automated testing, and DevOps best practices.</li></ul>
<ul><li>Demonstrated ability to define and enforce NFRs across enterprise systems.</li></ul>
<ul><li>Experience driving engineering productivity improvements through AI tools.</li></ul>
<ul><li>Strong stakeholder management and executive communication skills.</li></ul><br>
<p></p>
<p>
Skills/Knowledge</p><br>
<p></p>
<ul><li>Strategic thinker and proven leader with strong communication and collaboration skills.</li></ul>
<ul><li>Strong technical depth in:</li></ul>
<p>
o Data Lakehouse technologies (e.g., Delta Lake, Iceberg, Hudi)</p>
<p>
o ETL/ELT pipelines</p>
<p>
o Streaming frameworks (Kafka/Kinesis)</p>
<p>
o Data modeling and governance</p>
<ul><li>Experience with cloud architecture and DevOps practices.</li></ul>
<ul><li>Understanding of AI concepts including LLMs, Agentic AI, and RAG.</li></ul>
<ul><li>Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, MCP.</li></ul>
<ul><li>Experience with AWS AI services (e.g., Bedrock, SageMaker) preferred.</li></ul>
<ul><li>Ability to determine clear prioritization and manage trade-offs across roadmap, resources, and delivery timelines.</li></ul>
<ul><li>Strong people management skills with demonstrated ability to mentor and grow high-performing engineering teams in a fast-paced environment.</li></ul>
<ul><li>Strong executive presence and ability to communicate complex technical concepts to non-technical stakeholders.</li></ul>
<ul><li>DevOps.</li></ul>
<p>
o Understanding of AI concepts like LLMs, Agentic AI, RAG</p>
<p>
o Experience using tools like GitHub Copilot</p>
<p>
o Experience with AWS Bedrock
</p><h1 class="jobSectionHeader"><b>Work Environment/Physical Demands</b></h1>
<ul><li>Office environment</li></ul>
<ul><li>Ability to use a computer, phone, and other office equipment</li></ul>
<ul><li>Ability to sit, stand, or walk for long periods of time</li></ul>
<ul><li>Ability for travel as needed</li></ul><br>
<p></p>
<div><b>Important Notice Regarding Recruiting Practices</b><br>
<br>
Greenway Health does not accept unsolicited agency or third-party recruiter submissions unless the agency has been formally authorized in writing by Greenway Health. Any resumes or candidate information submitted without prior authorization will not be considered.
<br>
<br>
In addition, Greenway Health will never request personal financial information, payment of any kind, or sensitive data (such as Social Security numbers or bank details) during the application or interview process. If you are contacted by anyone claiming to represent Greenway Health and they request money, personal information, or anything unusual, please treat the communication as suspicious and report it immediately to Recruiting@greenwayhealth.com.<br>
<br>
<b><i>Greenway Health is committed to maintaining a secure, transparent, and trustworthy hiring process.</i></b>
</div>Job Description<br>
<br>
Job Title<br>
<br>
Manager, Product Development &ndash; Data Engineering/AWS/AI<br>
<br>
Date<br>
<br>
2/02/2026<br>
<br>
Reports To<br>
<br>
VP, Product Development<br>
<br>
EEO Category<br>
<br>
First/Mid Offs &amp; Mgrs.<br>
<br>
Organization<br>
Product Development<br>
<br>
FLSA<br>
<br>
Exempt<br>
<br>
<br>
Job Summary<br>
The Engineering Manager, Data Lakehouse &amp; AI Engineering is responsible for leading the architecture, technical design, engineering execution, and operational excellence of Greenway&rsquo;s AWS-based Data Lakehouse platform.<br>
This role provides technical leadership across multiple scrum pods (2&ndash;4 teams of 4&ndash;5 engineers each) and establishes engineering best practices across all phases of the software development life cycle. The incumbent will drive high-quality, scalable, secure, and cost-efficient data solutions while leveraging AI-powered engineering tools to improve productivity, automation, and code quality.<br>
This position combines deep technical expertise with strong people leadership, stakeholder management, and strategic vision to ensure alignment between engineering execution and business objectives.<br>
Essential Duties &amp; Responsibilities<br>
<ul><li>Provide architectural leadership and technical oversight for the AWS-based Data Lakehouse platform, ensuring scalability, security, reliability, and cost optimization.</li></ul>
<br>
<ul><li>Develop and enhance architectural design frameworks to ensure high-quality, compliance, and performant data systems aligned with business objectives.</li></ul>
<br>
<ul><li>Lead technical design reviews, architecture reviews, and code quality initiatives (Gerrit-based workflows).</li></ul>
<br>
<ul><li>Establish and enforce best practices across:</li></ul>
<br>
Infrastructure as Code (Terraform)<br>
<br>
CI/CD pipelines<br>
<br>
Automated testing and quality engineering<br>
<br>
Data governance and security standards<br>
<br>
Non-Functional Requirements (NFRs): scalability, availability, resiliency, observability, and performance<br>
<br>
<ul><li>Ensure effective deployment of AWS technologies including but not limited to S3, Glue, EMR, Redshift, Athena, Lambda, ECS/EKS, IAM, VPC, CloudWatch, and relevant AI services such as Bedrock and SageMaker.</li></ul>
<br>
<ul><li>Drive AI-assisted engineering practices using tools such as GitHub Copilot, Claude, ChatGPT, MCP, and other emerging technologies to improve development efficiency, automation, and documentation quality.</li></ul>
<br>
<ul><li>Implement guardrails and governance for responsible AI usage within engineering teams.</li></ul>
<br>
<ul><li>Provide leadership, vision, and strategy to ensure daily operations of development teams align with both present and long-term business goals.</li></ul>
<br>
<ul><li>Manage technically focused scrum teams across multiple locations, ensuring predictable and high-quality delivery.</li></ul>
<br>
<ul><li>Partner closely with Product, Analytics, Data Science, Security, and business stakeholders to translate requirements into scalable technical solutions.</li></ul>
<br>
<ul><li>Drive cloud cost optimization and efficiency initiatives (FinOps mindset).</li></ul>
<br>
<ul><li>Mentor, coach, and develop engineering talent; build succession plans and foster a high-performance culture.</li></ul><br>
<br>
<br>
<br>
Experience<br>
<ul><li>Minimum 10 years of progressive experience in software or data engineering.</li></ul>
<br>
<ul><li>3&ndash;5+ years of experience leading engineering teams in a managerial capacity.</li></ul>
<br>
<ul><li>Proven experience designing and implementing Data Lakehouse architecture on AWS.</li></ul>
<br>
<ul><li>Experience managing multiple scrum teams (2&ndash;4 pods preferred).</li></ul>
<br>
<ul><li>Experience driving technical strategy and engineering standards across distributed teams.</li></ul>
<br>
Education<br>
<ul><li>Bachelor&rsquo;s degree in computer science or related field required.</li></ul>
<br>
<ul><li>Master&rsquo;s Degree preferred</li></ul>
<br>
Minimum Qualifications<br>
<ul><li>Strong understanding of distributed systems and large-scale data platforms &amp; data Lakehouse architecture.</li></ul>
<br>
<ul><li>Deep experience with AWS cloud architecture and services.</li></ul>
<br>
<ul><li>Strong hands-on experience with Infrastructure as Code (Terraform).</li></ul>
<br>
<ul><li>Experience with Gerrit or comparable enterprise code review systems.</li></ul>
<br>
<ul><li>Strong understanding of distributed systems and large-scale data platforms.</li></ul>
<br>
<ul><li>Experience implementing CI/CD, automated testing, and DevOps best practices.</li></ul>
<br>
<ul><li>Demonstrated ability to define and enforce NFRs across enterprise systems.</li></ul>
<br>
<ul><li>Experience driving engineering productivity improvements through AI tools.</li></ul>
<br>
<ul><li>Strong stakeholder management and executive communication skills.</li></ul><br>
<br>
<br>
Skills/Knowledge<br>
<br>
<br>
<ul><li>Strategic thinker and proven leader with strong communication and collaboration skills.</li></ul>
<br>
<ul><li>Strong technical depth in:</li></ul>
<br>
o Data Lakehouse technologies (e.g., Delta Lake, Iceberg, Hudi)<br>
<br>
o ETL/ELT pipelines<br>
<br>
o Streaming frameworks (Kafka/Kinesis)<br>
<br>
o Data modeling and governance<br>
<br>
<ul><li>Experience with cloud architecture and DevOps practices.</li></ul>
<br>
<ul><li>Understanding of AI concepts including LLMs, Agentic AI, and RAG.</li></ul>
<br>
<ul><li>Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, MCP.</li></ul>
<br>
<ul><li>Experience with AWS AI services (e.g., Bedrock, SageMaker) preferred.</li></ul>
<br>
<ul><li>Ability to determine clear prioritization and manage trade-offs across roadmap, resources, and delivery timelines.</li></ul>
<br>
<ul><li>Strong people management skills with demonstrated ability to mentor and grow high-performing engineering teams in a fast-paced environment.</li></ul>
<br>
<ul><li>Strong executive presence and ability to communicate complex technical concepts to non-technical stakeholders.</li></ul>
<br>
<ul><li>DevOps.</li></ul>
<br>
o Understanding of AI concepts like LLMs, Agentic AI, RAG<br>
<br>
o Experience using tools like GitHub Copilot<br>
<br>
o Experience with AWS Bedrock<br>
<br>
Work Environment/Physical Demands<br>
<ul><li>Office environment</li></ul>
<br>
<ul><li>Ability to use a computer, phone, and other office equipment</li></ul>
<br>
<ul><li>Ability to sit, stand, or walk for long periods of time</li></ul>
<br>
<ul><li>Ability for travel as needed</li></ul><br>
<br>
<br>
Text Box: Disclaimer: This Job Summary indicates the general nature and level of work expected of the incumbent(s). It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent(s) may be asked to perform other duties as requested. Greenway Health, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, age, gender, national origin, sexual orientation, disability, or veteran status.</div>

Manager, Product Development - Data Engineering/AWS/AI

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