Applied AI Engineer Sales Force - Software Engineer II

Responsibilities

The Applied AI Engineer will design, build, and deploy full-stack products with integrated GenAI and agentic capabilities. They are responsible for maintaining code integrity, optimizing cloud costs, and collaborating with cross-functional teams to deliver high-quality, outcome-focused solutions.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 3 years of Salesforce experience. Additionally, 2 years of experience in building AI/ML and agentic applications using Python and cloud-native technologies is required.

Skills

• Salesforce
• Apex
• LWC
• SOQL
• Python
• Agentforce
• Data Cloud
• RAG
• Azure DevOps
• GitHub Actions
• React
• Node.js
• Full-stack development
• GenAI
• Cloud-native engineering
• DevSecOps

Benefits

• Professional development
• Leadership training
• Comprehensive rewards program
• Inclusive culture

About this role

APPLIED AI ENGINEER SALES FORCE - SOFTWARE ENGINEER II

Same job available in 2 locations

Bengaluru, Karnataka, India

Hyderabad, Telangana, India

POSITION SUMMARY

Applied AI Engineer I

Role Overview: As a Salesforce Applied AI Engineer I, you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte’s product and AI investments. You will leverage your extensive engineering craftsmanship across full-stack software engineering and modern frameworks—together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver—consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, build, and ship products end to end, from concept through production.

Key Responsibilities:

* Embrace and drive a culture of accountability for customer and business outcomes—and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build.
* Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, testing, integrations, and support.
* Maintain accountability for code-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. 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 leaning-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.
* Possess 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. Strive to 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.
* 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.

The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The successful candidate will possess:

§  Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required Qualifications:

§  A bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.

§  3+ years of Salesforce experience with most of the following: Apex, LWC, SOQL, SOSL, Flows, REST API/Bulk API, Data Loader/Import Wizard, Salesforce DX as well as automation testing frameworks such Jest, Playwright.

§  2+ years of experience building AI/ML and Salesforce agentic applications, with hands-on Agentforce experience with capabilities such as Data Cloud, Prompt Builder, Prompt Templates, grounding/RAG, actions. Experience with ...

About Deloitte

Business Consulting and Services · 10,001+ employees · headquartered in New York, NY · founded 1845