Lead Applied AI Engineer

Role Overview: As a Lead Applied AI Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role-model leader and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, low-level architecture and component design, development, testing, integrations, and support.Engineering Craftsmanship: Maintain accountability for the integrity of architecture and technical stack to the enterprise standards and strategy. Manage dependencies, code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle. Be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes job Consultant - Trading & VCO Advisory - Enterprise Operations & Risk Deloitte's Regulatory, Risk & Forensic team helps clients turn complex risks and evolving regulations into defensible actions that strengthen, protect, and transform their organizations. Join us to apply advanced data, AI, emerging technologies, and industry insights to bring clarity to complexity and accelerate value creation. Work you'll do As a Trading & VCO Advisory Consultant on the Enterprise Operations & Risk team, you will be responsible for: Support analysis across the commodity trade lifecycle (e.g., deal capture, scheduling/nomination, pricing, settlements) to help identify data, process, or control improvement opportunities within trading and risk operationsSupport the design, implementation, and ongoing improvement of value chain optimization programs for Commodity Trading companies in Oil & Gas, Power & Utilities, Agriculture and other adjacent commodity sectors. Analyze commercial and operational data to identify optimization opportunities, quantify value, and support recommendations for margin improvementCollaborate with client stakeholders and Deloitte teams to align optimization initiatives with business objectives, timelines, and delivery requirementsContribute to the development of solution materials, client presentations, and sales support assets used in pursuit and delivery effortsSupport project workstreams across refining, shipping, storage, marketing, and commodity trading operations while helping track performance against defined key performance indicators A successful candidate would possess these skills: Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to others The team Our Enterprise Operations & Risk offering enables clients to achieve profitable growth and competitive advantage by optimizing "heart of the business" operations. We leverage deep domain expertise to extend enterprise resilience, agility and remediation. Our professionals address client needs which span the organization and impact strategy, operations, performance and reputation. Qualifications Required: Bachelor's degree in Business, Engineering, Supply Chain, or a related field4+ years of experience in value chain, operations, supply chain management, or consultingExperience supporting work across downstream oil & gas functions, including refining, shipping, storage, marketing, and commodity trading operationsFoundational understanding of the commodities trade lifecycle and related risk concepts (e.g., deal capture, confirmations, scheduling, settlements, market/credit risk exposures)Experience supporting commercial or operational optimization programs and tracking performance against key performance indicatorsExperience creating client-ready analyses, presentations, or financial models to quantify business valueAbility to travel 75%, on average, based on the work you do and the clients and industries/sectors you serveLimited immigration sponsorship may be available. Preferred: Experience with financial modeling to quantify value and business benefitsExperience using data, analytics, or artificial intelligence in commercial or operational optimizationExposure to CTRM/ETRM platforms (e.g., ION Endur/Openlink, Allegro, RightAngle, Eka, TriplePoint, SAP Commodity Management, or similar)Familiarity with one or more commodity markets (e.g., power, natural gas, crude/refined products, LNG, metals, agriculture)Basic understanding of risk and analytics concepts such as mark-to-market, valuation, or scenario analysisExperience working in a consulting or advisory environment Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.