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Deloitte · 2 weeks ago

GenAI Engineer

Houston, TX

Full-time

Hybrid

Entry, Mid Level

$66K/yr - $136K/yr

2+ years exp

Deloitte is a leading professional services firm, and they are seeking a GenAI Engineer to engage in high-visibility projects. The role involves delivering innovative solutions while collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.

AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management

Growth Opportunities

H1B Sponsored

Responsibilities

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

Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Participate in requirement analysis, component design, development, unit testing, integrations, and support

Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams

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

Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions

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

Develop expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Learn to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning

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

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

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

Qualification

AI/MLGenAIPythonCloud-native engineeringSoftware engineeringAgile methodologiesEffective communicationTeam collaborationProblem-solvingOrganizational skills

Required

A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor

2 years of experience with AI/ML, including at least 1 year focused on GenAI and related technologies such as OpenAI, Claude, Gemini, LangChain, Agents, and vector databases, as well as approaches such as prompt engineering, fine-tuning, etc

Prior software engineering experience with the understanding of OOP/OOD, data structures, algorithms, code instrumentations, etc

Prior experience with one or more of the following: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc

Prior experience with big data technologies and one or more of the following: Angular, React, NodeJS, C#, .NET Core, Java, Golang, SQL/NoSQL

Prior experience with cloud-native engineering, using FaaS, PaaS, or micro-services on one of the cloud hyperscalers such as Azure, AWS, or GCP

Prior experience using one or more of the methodologies & tools, such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc., to deliver high-quality products rapidly

Benefits

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.

Company

Deloitte

Glassdoor4.0

Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services.

Founded in 1845

London, England, GBR

10001+ employees

https://www2.deloitte.com

H1B Sponsorship

Deloitte has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (6871)

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2023 (5604)

2022 (8090)

2021 (5993)

2020 (10388)