Deloitte
Website:
deloitte.com
Company:
https://www.linkedin.com/company/deloitte
Seniority: Not Applicable
Industries: Business Consulting and Services
Job details:
Summary
Position Summary
Job Description – AI Solution Architect
The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. Centered on five core issues, this Portfolio signifies to the market that we see Human Capital as a topic critical to the C-Suite. As we go-to-market, we will show our clients that we serve more than HR organizations – from the CEO to CFO, Risk Manager to Business Unit leader—and that we deliver on our issues and help create value for our clients.
Insights, Innovation & Operate Offering:
Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients’ businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value.
Position Summary: AI Solutions Architect (Senior Consultants, Managers)
Role Summary
We are seeking an AI Solutions Architect to design and deliver production-grade AI agent platforms. The core of this role is building multi-agent orchestration systems using LangGraph and Anthropic Claude—routing user intent to specialized sub-agents, implementing retrieval-augmented generation (RAG) over policy documents, and performing actions. You will own the architecture from LLM prompt design to multi-tenancy and vendor integration across HR platforms (Workday, SAP, Oracle HCM). You will collaborate with engineering, security, and product teams to translate business requirements into production-ready AI agent solutions.
Experience bands:
- Senior Consultant: 6+ years total experience, with significant time in AI/ML solution design
- Manager: 10+ years total experience, with significant time in AI/ML solution design
Key Responsibilities
- Design and implement multi-agent orchestration using LangGraph—intent classification, sub-agent routing, state management, checkpointing, and human-in-the-loop (HITL) interrupt flows.
- Architect RAG pipelines: document ingestion, chunking strategies, embedding generation, vector search (pgvector), hybrid retrieval, and citation-grounded response synthesis.
- Evaluate and integrate LLM providers (Anthropic Claude, OpenAI, etc.), defining model selection strategies, prompt engineering standards, and token budget management across agent tiers and multi-tenant data layers
- Design vendor integration patterns using direct APIs, MCP, and A2A protocol for complex HR platform workflows.
- Define end-to-end AI solution architectures from user interaction through agent orchestration, vendor API integration, and production deployment with monitoring.
- , own the AI application architecture (agent orchestration, LLM integration, RAG, guardrails, eval frameworks) in joint partnership with the Cloud Solution Architect, who owns the cloud platform and infrastructure layer.
- , partner with the Data Integration Architect who owns document ingestion and vector store architecture; own downstream AI application concerns (retrieval strategy, prompt design, response synthesis, evaluation).
- Conduct architecture reviews and mentor teams on best practices in LLM application design, agent patterns, and production readiness.
- Collaborate with stakeholders to translate requirements into architecture decisions and delivery roadmaps; produce HLD/LLD and ADRs.
Required Qualifications
- 6+ years (Senior Consultant) or 10+ years (Manager) total experience, with significant time in AI/ML solution design and implementation.
- Hands-on proficiency with agent orchestration frameworks - LangGraph strongly preferred.
- Strong understanding of retrieval-augmented generation
- Experience with prompt engineering, tool calling, and LLM evaluation techniques
- Expert-level Python development for production systems
- Strong hands-on experience building API services with FastAPI
- Working knowledge of multi-tenant security patterns
- (Claude Code, GitHub Copilot, Cursor, Windsurf, or equivalent) for architecture work, design documentation, and engineering workflows. Familiarity with agentic engineering patterns is expected.
- Strong communication and documentation skills; ability to influence cross-functional teams and senior stakeholders.
Preferred Qualifications
- Familiarity with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol for vendor and cross-system integrations.
- Experience integrating with HR/HCM platforms
- Experience with LangFuse, LangSmith, or similar LLM observability and tracing platforms.
- Knowledge of responsible AI practices: PII handling, prompt injection defense, model risk management, and explainability.
- — working familiarity with cloud-native deployment (Kubernetes, CI/CD, IaC, observability), data engineering patterns (ETL/ELT, lakehouse, streaming), and the operational implications for AI platforms. Not expected to own these, but must collaborate effectively with Cloud Solution and Data Integration architects in joint reviews.
Key Competencies
- Architecture leadership with pragmatic trade-off decisions (speed vs. risk, cost vs. accuracy, build vs. buy, direct integration vs. protocol abstraction).
- Ability to bridge AI research and engineering - turning prototypes into reliable, observable production services.
- Strong ownership mindset for reliability, security, and operational excellence.
- Coaching and standard-setting across teams.
Education
Job Description – AI Solution Architect
The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. Centered on five core issues, this Portfolio signifies to the market that we see Human Capital as a topic critical to the C-Suite. As we go-to-market, we will show our clients that we serve more than HR organizations – from the CEO to CFO, Risk Manager to Business Unit leader—and that we deliver on our issues and help create value for our clients.
Insights, Innovation & Operate Offering:
Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients’ businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value.
Position Summary: AI Solutions Architect (Senior Consultants, Managers)
Role Summary
We are seeking an AI Solutions Architect to design and deliver production-grade AI agent platforms. The core of this role is building multi-agent orchestration systems using LangGraph and Anthropic Claude—routing user intent to specialized sub-agents, implementing retrieval-augmented generation (RAG) over policy documents, and performing actions. You will own the architecture from LLM prompt design to multi-tenancy and vendor integration across HR platforms (Workday, SAP, Oracle HCM). You will collaborate with engineering, security, and product teams to translate business requirements into production-ready AI agent solutions.
Experience bands:
- Senior Consultant: 6+ years total experience, with significant time in AI/ML solution design
- Manager: 10+ years total experience, with significant time in AI/ML solution design
Key Responsibilities
- Design and implement multi-agent orchestration using LangGraph—intent classification, sub-agent routing, state management, checkpointing, and human-in-the-loop (HITL) interrupt flows.
- Architect RAG pipelines: document ingestion, chunking strategies, embedding generation, vector search (pgvector), hybrid retrieval, and citation-grounded response synthesis.
- Evaluate and integrate LLM providers (Anthropic Claude, OpenAI, etc.), defining model selection strategies, prompt engineering standards, and token budget management across agent tiers and multi-tenant data layers
- Design vendor integration patterns using direct APIs, MCP, and A2A protocol for complex HR platform workflows.
- Define end-to-end AI solution architectures from user interaction through agent orchestration, vendor API integration, and production deployment with monitoring.
- , own the AI application architecture (agent orchestration, LLM integration, RAG, guardrails, eval frameworks) in joint partnership with the Cloud Solution Architect, who owns the cloud platform and infrastructure layer.
- , partner with the Data Integration Architect who owns document ingestion and vector store architecture; own downstream AI application concerns (retrieval strategy, prompt design, response synthesis, evaluation).
- Conduct architecture reviews and mentor teams on best practices in LLM application design, agent patterns, and production readiness.
- Collaborate with stakeholders to translate requirements into architecture decisions and delivery roadmaps; produce HLD/LLD and ADRs.
Required Qualifications
- 6+ years (Senior Consultant) or 10+ years (Manager) total experience, with significant time in AI/ML solution design and implementation.
- Hands-on proficiency with agent orchestration frameworks - LangGraph strongly preferred.
- Strong understanding of retrieval-augmented generation
- Experience with prompt engineering, tool calling, and LLM evaluation techniques
- Expert-level Python development for production systems
- Strong hands-on experience building API services with FastAPI
- Working knowledge of multi-tenant security patterns
- (Claude Code, GitHub Copilot, Cursor, Windsurf, or equivalent) for architecture work, design documentation, and engineering workflows. Familiarity with agentic engineering patterns is expected.
- Strong communication and documentation skills; ability to influence cross-functional teams and senior stakeholders.
Preferred Qualifications
- Familiarity with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol for vendor and cross-system integrations.
- Experience integrating with HR/HCM platforms
- Experience with LangFuse, LangSmith, or similar LLM observability and tracing platforms.
- Knowledge of responsible AI practices: PII handling, prompt injection defense, model risk management, and explainability.
- — working familiarity with cloud-native deployment (Kubernetes, CI/CD, IaC, observability), data engineering patterns (ETL/ELT, lakehouse, streaming), and the operational implications for AI platforms. Not expected to own these, but must collaborate effectively with Cloud Solution and Data Integration architects in joint reviews.
Key Competencies
- Architecture leadership with pragmatic trade-off decisions (speed vs. risk, cost vs. accuracy, build vs. buy, direct integration vs. protocol abstraction).
- Ability to bridge AI research and engineering - turning prototypes into reliable, observable production services.
- Strong ownership mindset for reliability, security, and operational excellence.
- Coaching and standard-setting across teams.
Education
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience). Advanced degree is a plus.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience). Advanced degree is a plus.
Our purpose
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work.
Professional development
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
Benefits To Help You Thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Requisition code: 354108
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