Accenture Logo

Accenture

Generative AI / Agentic AI Senior Engineer

Reposted 4 Days Ago
Be an Early Applicant
In-Office
3 Locations
Senior level
In-Office
3 Locations
Senior level
Design and implement Generative AI and Agentic AI solutions, integrating AI models with real-world applications, and managing AI workloads in cloud environments.
The summary above was generated by AI

About us

Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people, cutting-edge technology, and leading companies across various industries, making a significant impact worldwide.

We’re looking for a senior engineer with a strong foundation in software development and applied AI systems who can design, implement, and deploy Generative AI and Agentic AI solutions in modern cloud environments.
The ideal candidate will bridge the gap between AI model capabilities and real-world integration — orchestrating LLMs, agents, data systems, and scalable infrastructure into intelligent, production-ready applications.

What you need to succeed:

Core Engineering Fundamentals (Must-Have)

  • Proficiency in Python as the primary language for AI development.

  • Solid understanding of APIs, REST/GraphQL, and integration patterns.

  • Experience working with databases — both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB, CosmosDB).

  • Familiarity with version control (Git), testing, and CI/CD pipelines for automated deployments.

Generative AI Foundations

  • Hands-on experience using Large Language Models (LLMs) such as GPT, Claude, Gemini, or Llama.

  • Practical skill in prompt engineering (zero-shot, few-shot, chain-of-thought, and dynamic prompting).

  • Understanding of tokenization, context windows, and model inference constraints — i.e., how model size, context limits, latency, and cost impact runtime behavior and system design.

  • Ability to design and implement retrieval-augmented generation (RAG) pipelines for enterprise or domain-specific contexts.

Data & Knowledge Systems

  • Familiarity with embedding models and vectorization techniques for semantic search, context retrieval, and personalization.

  • Experience using vector databases such as FAISS, Pinecone, Weaviate, Chroma or similar

  • Competence in data preprocessing, indexing, and pipeline optimization for large-scale text or multi-modal data.

Cloud Infrastructure & MLOps

  • Experience deploying AI workloads on cloud platforms (e.g., Azure, GCP, AWS, or private cloud).

  • Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable AI services.

  • Understanding of infrastructure-as-code tools (e.g Terraform, Pulumi or CloudFormation) and monitoring/observability frameworks (Prometheus, Grafana, OpenTelemetry).

  • Exposure to CI/CD, model deployment pipelines, and cloud-based inference endpoints.

Agentic AI & Orchestration

  • Knowledge of agent frameworks (e.g., LangChain, AutoGen, CrewAI, LlamaIndex) and agent-based reasoning architectures — systems where LLMs can plan, act, and collaborate through structured reasoning loops (e.g., ReAct, planner–executor, or multi-agent designs).

  • Experience integrating LLMs with tools, APIs, and knowledge bases to enable autonomous or semi-autonomous workflows.

  • Ability to design multi-agent systems that coordinate task planning, execution, and evaluation.

Advanced nice to have skills

  • Familiarity with fine-tuning, LoRA, or adapter-based customization for domain-specific model behavior.

  • Understanding of embedding optimization, context compression, and persistent memory architectures for long-running agents.

  • Experience with distributed inference, GPU optimization, or scalable API serving for LLM-backed systems.

  • Awareness of evaluation metrics for LLM performance, hallucination control, and reasoning consistency.

  • Experience designing multi-modal systems combining text, image, or structured data reasoning.

Your life at Accenture

At Accenture, we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards. You'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.

Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.

The position is available exclusively for collaboration under an individual working contract (CIM).

#LI-EU

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, sexual orientation, gender identity or expression, 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.

Top Skills

APIs
AWS
Azure
Chroma
Ci/Cd
CloudFormation
Cosmosdb
Docker
DynamoDB
Faiss
GCP
Git
Grafana
GraphQL
Kubernetes
MongoDB
MySQL
Opentelemetry
Pinecone
Postgres
Prometheus
Pulumi
Python
Rest
Terraform
Weaviate

Accenture San Francisco, California, USA Office

560 Mission St, San Francisco, CA, United States, 94105

Similar Jobs

21 Days Ago
Remote or Hybrid
Cluj-Napoca, Cluj, ROU
Senior level
Senior level
Fintech • Payments • Software
The Senior Software Engineer I will lead the design and maintenance of Flywire's PaaS environment, contributing across the stack and enhancing development processes for 200+ engineers.
Top Skills: AWSDockerGitlabGoNode.jsOtelPythonRubySentrySumo LogicTerraformTypescript
8 Hours Ago
In-Office
Cluj-Napoca, Cluj, ROU
Mid level
Mid level
Information Technology • Software
The General Ledger Accountant handles general ledger processes, including reconciliations, financial reporting, and audit preparation, while collaborating with internal teams.
Top Skills: MS OfficeSap Fi
8 Hours Ago
In-Office
3 Locations
Senior level
Senior level
Information Technology
Develop reliable and scalable PLM solutions using Siemens Teamcenter, collaborating with teams to enhance product lifecycle processes and data integrity.
Top Skills: Bills Of MaterialsPlmSiemens Teamcenter

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account