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Accenture

Packaged/SaaS Application Engineer

Posted 13 Hours Ago
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In-Office
Pune, Mahārāshtra
Expert/Leader
In-Office
Pune, Mahārāshtra
Expert/Leader
As a Packaged/SaaS Application Engineer, you'll provide strategic technical leadership for AI core platforms, leading architecture governance and overseeing AI-first development practices across Salesforce and multi-cloud environments.
The summary above was generated by AI
Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Agentforce
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent. As a Salesforce AI Core Principal Architect, you will provide strategic technical leadership and architectural direction for AI core platforms across large, multi-year Salesforce and enterprise transformation programs. You will define the AI core vision, reference architectures, and governance models that span Salesforce, data platforms, and multi-cloud AI providers, aligning technology execution with business outcomes and Responsible AI principles.
This role requires deep Salesforce architecture expertise, broad cloud and AI knowledge, and strong leadership working with senior stakeholders and cross-functional teams.

Roles & Responsibilities:
Act as enterprise-level Subject Matter Expert for AI core architecture, spanning Salesforce, data platforms, and cloud AI services.
Define end-to-end AI core reference architectures, standards, and guardrails to be adopted across programs and lines of business.
Architect scalable, secure, and future-ready AI platforms that expose reusable services, RAG frameworks, agent orchestration, and evaluation pipelines to multiple consuming applications.
Drive AI-first development practices across Salesforce and non-Salesforce teams, ensuring alignment with business strategy and value realization.
Lead architecture governance forums, design authorities, and technical steering committees for AI initiatives.
Partners with enterprise architects, data leaders, and security/compliance stakeholders to define policies on data usage, model selection, Responsible AI, and risk management.
Oversee solution architecture for large Salesforce programs (Sales, Service, Experience, Industry Clouds) that leverage AI core capabilities.
Identify and prioritize high-impact AI use cases, assess feasibility, and guide teams from ideation through product ionization.
Mentor and coach architects and senior engineers, building organizational capability in AI architecture and engineering.
Sponsor creation of reusable frameworks, accelerators, and best-practice assets for AI core implementation.
Provide advisory guidance to senior client stakeholders and internal leadership on AI strategy, roadmap, and investment decisions.

Professional & Technical Skills:
Must Have Skills
Extensive expertise in Salesforce Technical Architecture with proven experience leading large, multi-cloud and multi-org transformations.
Deep understanding of cloud computing and enterprise architecture principles, including integration, security, and data management.
Strong experience designing and governing AI/ML and Generative AI solutions at scale (model selection, hosting, RAG, observability, guardrails).
Hands-on background (even if not day-to-day) with Apex, LWCs, Flows, and enterprise integrations, enabling effective technical oversight.
Experience establishing architecture standards, governance processes, and reference implementations across multiple delivery teams.
Strong stakeholder management, communication, and influencing skills at senior leadership level.
Experience with DevOps and platform engineering practices for scalable AI workloads.
Good to Have Skills
Experience building internal AI/ML platforms (MLOps, model registry, evaluation pipelines, feedback loops, AI policy enforcement).
Broad exposure to Azure, AWS, and Google Cloud AI offerings, and ability to design multi-cloud or hybrid AI strategies.
Participation in AI or data governance councils or similar enterprise bodies.
Certifications Required
Salesforce System Architect – Mandatory
Salesforce Application Architect – Mandatory
Agentforce Specialist – Mandatory
Agentforce AI Associate– Mandatory.
CTA – Strongly Preferred
Multiple advanced AI/Cloud certifications across Azure, AWS, and/or Google Cloud – Preferred.
Additional Information:
15+ years of experience in Salesforce and enterprise architecture, including leadership of large transformation programs.
Experience managing multiple projects and delivery teams.
Exposure to enterprise-scale Salesforce transformation programs.
15 years of full-time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture Mumbai, Maharashtra, IND Office

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