Level

Salesforce

Senior Technical Consultant - AI platform engineering and Salesforce project delivery

Salesforce is hiring a Senior Technical Consultant - AI platform engineering and Salesforce project delivery in Bengaluru, India. Level rates it ; you can apply on Salesforce.

Level's read on this job

  • Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Claude, Gemini and Cursor among its tools and skills.
  • Level classes it as a senior role.
  • Salesforce has 1,500+ other open roles on Level.
  • Posted in the last few days.

AI in this role

claudegeminicursorclaude-code
ragai-agentsai-evaluation

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Customer Success

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.


Job Description

About the Role

The Senior Technical Consultant is a hands-on technical role spanning AI platform engineering and Salesforce project delivery. The role will contribute to building and enhancing the organization's multi-agent AI delivery platform, while also using the platform and agentic development approaches to deliver Salesforce projects.
The platform brings together multiple LLMs, public AI models, agents, tools, and workflows to support the Salesforce delivery lifecycle. The Senior Technical Consultant will help evolve these capabilities, support projects adopting the platform, and work as a senior Salesforce developer on delivery projects using AI-first and agentic development practices.
The ideal candidate combines strong Salesforce engineering expertise with AI/LLM and agentic development skills, and can build solutions, solve complex problems, and guide other developers in adopting new ways of working.

Key Responsibilities

AI Platform Engineering

  • Develop and enhance the organization's multi-agent AI application, including agents, tools, workflows, integrations, and automations.
  • Work with multiple LLMs and public AI models and evaluate their suitability for different use cases.
  • Implement agent orchestration, tool use, prompting, context management, grounding, and workflow execution.
  • Build reusable AI capabilities that can be leveraged across Salesforce projects.
  • Prototype new AI capabilities and convert successful PoCs into production-ready solutions.
  • Continuously experiment with emerging AI frameworks, models, and developer tools.

Agentic Salesforce Delivery

  • Work as a Senior Resource on delivery projects, using AI and agentic development approaches to accelerate and improve delivery.
  • Use the AI platform and associated agents, tools, and workflows across the Salesforce development lifecycle.
  • Apply agentic approaches to activities including analysis, design, coding, testing, troubleshooting, documentation, and deployment.
  • Build and review Salesforce solutions using Apex, LWC, Flow, integrations, APIs, and other Salesforce technologies.
  • Ensure AI-assisted and AI-generated solutions meet Salesforce architecture, security, quality, and engineering standards.
  • Identify opportunities within projects to automate repetitive development activities and improve developer productivity.

Platform Support & Problem Solving

  • Support Salesforce projects using the AI delivery platform and resolve incoming technical issues.
  • Diagnose problems across the application, agents, LLMs, prompts, tools, integrations, and Salesforce components.
  • Work with Technical Architects and the AI application owner to identify root causes and implement sustainable fixes.
  • Identify recurring project issues and convert solutions into reusable platform capabilities.
  • Feed project experience and user feedback into continuous improvement of the AI platform.

Enablement & Technical Leadership

  • Guide Salesforce developers and project teams in agentic ways of working and AI-assisted development.
  • Help teams understand how and when to use agents, AI tools, and platform capabilities effectively.
  • Establish and share practical patterns, best practices, and lessons learned from real project delivery.
  • Collaborate with Technical Architects and the AI application owner to drive adoption and improve delivery outcomes.

Builder & Engineering Mindset

  • Be a hands-on developer who builds and ships working solutions, rather than primarily a design/documentation role.
  • Use AI-assisted development tools such as Claude Code, Cursor, Gemini, and similar tools.
  • Follow modern engineering practices including Git, CI/CD, testing, code reviews, and maintainable design.
  • Balance rapid experimentation with scalability, security, reliability, and production quality.

Preferred Qualifications

  • 5–7 years of Salesforce/software engineering experience with strong hands-on Salesforce development skills.
  • Strong experience with Apex, LWC, SOQL, Flow, APIs, integrations, and Salesforce metadata.
  • Experience building multi-agent or agentic AI applications.
  • Experience working with multiple LLM providers/models.
  • Experience with MCP, agent orchestration, RAG, vector search, or LLM evaluation.
  • Hands-on experience with Claude Code, Cursor, Gemini, or similar AI coding tools.
  • Experience integrating AI applications with Salesforce APIs, metadata, repositories, or development environments.
  • Experience with Agentforce or other enterprise AI/agent platforms.
  • Salesforce certifications such as Platform Developer II, Application Architect, or System Architect.

Key Attributes

  • Builder: Comfortable building and shipping both Salesforce and AI solutions.
  • AI Practitioner: Uses AI and agentic approaches as part of day-to-day development.
  • Salesforce Technologist: Strong understanding of enterprise Salesforce development and architecture.
  • Problem Solver: Can debug issues across AI, application, integration, and Salesforce layers.
  • Enabler: Helps other developers and teams adopt agentic ways of working.
  • Product Mindset: Turns project learnings into reusable platform capabilities.
  • Collaborator: Works closely with architects, the AI platform owner, and delivery teams.

Success in the Role

Success means improving the AI delivery platform while delivering Salesforce projects more effectively through agentic development.
The Senior Technical Consultant will act as a key bridge between AI platform engineering and Salesforce delivery — building the platform, using it to deliver real projects, solving adoption and technical challenges, and enabling other developers to adopt agentic ways of working.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

How we rate this

Senior Technical Consultant - AI platform engineering and Salesforce project delivery at Salesforce rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI EvaluationClaudeGeminiCursorClaude Code

Also common in AI consultant jobs at this level

Pay

Typical AI consultant job
$152k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you decide that one model's output is better than another's for a given task?
  4. What's a project where you used Claude hands-on?
  5. Walk me through how you've used Gemini in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Evaluation, Claude, and Gemini. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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