Industry/Sector
Not Applicable
Specialism
Salesforce
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
Those in Salesforce system integration at PwC will focus on connecting Salesforce with other systems, applications, or databases to enable seamless data flow and process automation. You will be responsible for designing, developing, and implementing integration solutions using various integration technologies and tools, such as Salesforce APIs, middleware platforms, and web services.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
- Job Title: Salesforce and AI Senior AssociateExperience 6 - 10 yearsKey Skills Apex, Triggers, Service Cloud, Sales Cloud, LWC, Flows, Agentforce,Agentic AI, AWS / GCP, Python / TypeScriptEducationalQualification BE / B Tech / ME / M Tech / MBA / MCAAs a Salesforce and AI Senior Associate, you will be a senior technical contributor operating across two highly-visible streams within our practice — leading Salesforce delivery on client engagements while serving as a senior engineer on the AI and agentic accelerators the practice is building.This role demands genuine depth on both sides: you are expected to be a strong, independently operating Salesforce developer with production-grade AI agent experience, not a Salesforce SME dabbling in AI or an AI engineer picking up Salesforce along the way. PwC Professional skills and responsibilities for this management level include but are not limited to:➢ Lead hands-on Salesforce development on complex Service Cloud and Sales Cloud engagements — architect and implement Apex, LWC, integrations, and automation — while owning end-to-end technical delivery for your track.➢ Serve as a senior builder on the practice's AI and agent initiatives — contributing to architecture, code reviews, and production hardening of internal platforms, Agentforce solutions, and agentic tooling deployed to client environments.➢ Design, build, and ship production-grade AI agents: you understand the full lifecycle — agent loop design, tool and MCP integration, context engineering, memory, evals, observability, cost and latencytrade-offs, and failure modes in production.➢ Partner with practice leadership to shape the technical roadmap for AI accelerators, translating business problems into robust agent architectures rather than proof-of-concept demos.➢ Mentor Associates and junior engineers across both Salesforce and AI workstreams, conduct code reviews, and contribute to KSS and lessons-learnt sessions.➢ Use feedback and reflection to develop self-awareness, identify p personal strengths and address development areas.
- ➢ Demonstrate critical thinking and the ability to bring order to unstructured problems — particularly important given the ambiguity inherent to new AI product development.➢ Own ticket quality, deliverables review, and status reporting for your project; adhere to SLAs, with experience in incident, change, and problem management.➢ Know how and when to use the tools available for a given situation and can explain the reasons for the choice — including when NOT to reach for an LLM or agent-based solution.➢ Seek and embrace opportunities that give exposure to different situations, environments, and perspectives across the AI and Salesforce ecosystems.➢ Use straightforward communication, in a structured way, when influencing and connecting with others; comfortable presenting technical work to both leadership and client stakeholders.➢ Build a strong team environment that includes client interactions, workstream management, and cross-team collaboration across Salesforce delivery pods and the AI team.➢ Able to read situations and modify behavior to build quality relationships with clients and internal leadership.➢ Uphold the firm's code of ethics and business conduct.Managed Services
- Application Evolution ServicesAt PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs.Everyday we are motivated and passionate about making our clients' better.Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client's enterprise through technology and human-enabled experience. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC's Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwCbrings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world-class business and technology capabilities that keep pace with today's dynamic business environment. Within our global, Managed Services platform, we provide Application Evolution Services (formerly Application Managed Services), where we focus more so on the evolution of our clients' applications and cloud portfolio. Our focus is to empower our client's to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective.As a member of our Application Evolution Services (AES) team, we are looking for senior candidates who thrive working in a high-paced environment capable of leading a mix of critical Application EvolutionService offerings and engagements including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. We are specifically looking for senior hybrid talent whobring deep Salesforce development strength together with proven, production-grade agentic AI experience to help lead the next generation of accelerators in this practice. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.Required Skills➢ Extensive hands-on Salesforce development experience across Service Cloud and Sales Cloud, including complex Apex, asynchronous processing (Batch, Queueable, Schedulable, Platform Events), Triggers, Test Classes with meaningful assertions and strong coverage, SOQL/SOSL, LWC, Aura, Flows, and deep knowledge of governor limits and platform architectural boundaries.➢ Strong command of Salesforce REST/SOAP APIs and enterprise integration patterns — real-time, batch, synchronous, asynchronous, bi-directional — with production experience across XML/JSONpayloads and middleware (MuleSoft, Boomi, or similar).➢ Deep understanding of the Salesforce security model, sharing and visibility design, and technically scalable data modeling at enterprise scale.➢ User Interface engineering: LWC, Salesforce Visualforce, HTML5, JavaScript (modern ES), CSS, with a track record of shipping reusable, performant components.➢ Fluent with Data Loader, VS Code, Workbench, SFDX CLI, and Git- based source control; experience leading CI/CD on Salesforce projects (SFDX, unlocked packages, metadata deployments, automated testing pipelines).➢ Proven, production-grade experience building and operating AI agents — not just proofs of concept. Must be able to speak credibly about agent loop design, planning, tool and MCP integration, memory, retrieval, evaluation, guardrails, observability, cost and latency trade-offs, and real-world failure modes.➢ Strong hands-on experience with Salesforce Agentforce — including agent, topic, and action design, integrating Agentforce with custom Apex and external systems, and comparing Agentforce to nativecode-based agent frameworks for the right architectural choice.➢ Deep practical experience with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or equivalent), prompt engineering at scale, tool/function calling, RAG pipelines, and structured output generation.
- ➢ Working experience with at least one production agent framework such as LangGraph, Claude Agent SDK, LangChain, CrewAI, or equivalent, and the judgment to know when each fits.➢ Hands-on experience on at least one major cloud
- AWS or GCP (Azure acceptable as secondary) — including services relevant to AI workloads: Bedrock / Vertex AI, IAM, Lambda / Cloud Functions, S3 / GCS, API Gateway, secrets management, and networking basics.Cloud certification is strongly preferred.➢ Proficiency in Python and/or TypeScript for backend and agent development; comfortable across a modern stack (Node.js, React, SQLite / Postgres / vector stores) and in shipping code into production environments including VDI and desktop-deployed contexts.➢ Strong understanding of MCP (Model Context Protocol) or equivalent connectivity standards for exposing tools and data to LLMs — and the practical tradeoffs of building MCP servers vs. direct toolintegration.➢ Ability to set up evals, regression tests, and observability for agent systems (latency, token usage, trace inspection, failure triage).➢ Experience with Agile development processes, continuous integration and deployments, and leading technical estimation across both Salesforce and AI workstreams.➢ Working knowledge of Jira or similar project management / issue tracking tools.➢ Strong understanding of design principles, technically scalable data modeling, and Force.com development best practices; able to develop accurate estimates on level of effort for timely projectexecution.➢ Review and assure quality In all code entering the codebase; continually evaluate and refactor the code base for increased extensibility.➢ Proficiency in developing unit testing with assertions for core Salesforce functionality and evals for AI/agent components.➢ Self-starter with a senior builder mindset — someone with a demonstrable track record of shipping production systems (not only tutorials, PoCs, or course projects) who can lead an ambiguous problem from concept to deployed system.➢ Detail-oriented individual with the ability to rapidly learn and take advantage of new concepts, business models, and technologies — critical given the pace of the AI landscape.➢ Take responsibility for end-to-end solution delivery for their respective tracks across both Salesforce and AI.➢ Team player with strong communication skills; ability to problem solve high-level software and application issues and explain technical decisions to non-technical stakeholders and client leadership.
- ➢ Unit / integration testing and support of UAT testing including development of test scenarios if required.➢ Go-live readiness preparation includes cutover activities if required.➢ Salesforce certifications: Salesforce Platform Developer I (PD1) and Salesforce Administrator are Mandatory. Additionally, at least two of the following are required: Salesforce Platform Developer II (PD2), Salesforce Application Architect, Salesforce System Architect, Salesforce Service Cloud Consultant, or Salesforce Sales Cloud Consultant.
- Preferred Skills➢ Salesforce Agentforce Specialist certification and/or Salesforce AI Associate / AI Specialist certification.➢ Salesforce Certified Technical Architect (CTA) pursuit or completed architect domain certifications.➢ AWS certifications (AI Practitioner, Solutions Architect Associate, Machine Learning Engineer Associate/Specialty) or equivalent GCP / Azure certifications.➢ Demonstrable open-source contributions to AI, agentic, or developer tooling projects.➢ Experience designing and shipping Electron, desktop, or VDI- deployed applications that embed LLMs into enterprise workflows.➢ Production experience with vector databases (pgvector, Pinecone, Weaviate, or similar) and embedding-based retrieval pipelines at scale.➢ Familiarity with enterprise LLM hosting and routing
- AWS Bedrock, Azure OpenAI, Vertex AI, or internal shared-services gateways — including cost control, model selection, and fallback strategies.➢ Experience with Salesforce Data Cloud, Einstein, Prompt Builder, and other native Salesforce AI/analytics tooling.➢ Good to have other Salesforce Cloud knowledge like Vlocity, CPQ, etc.➢ Good to have data migration knowledge at enterprise scale.➢ Understanding of SSO and identity integration (SAML, OAuth 2.0/2.1, OIDC) with other applications is a plus.➢ Good to have Salesforce Certified Experience / Community Cloud Consultant.➢ Prior experience presenting technical work publicly — internal demos to leadership, client workshops, blog posts, or conference talks.➢ Experience mentoring junior engineers and leading pod-level technical reviews.
Travel Requirements
Not Specified
Job Posting End Date
