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AI LLM Technology Architecture Assoc Dir

AI LLM Technology Architecture Assoc Dir

Accenture

6 - 11 years

20 - 22 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

llm kubernetes restful accounting sales microservices docker ansible java gcp devops jenkins onboarding etl architecture azure python ai nosql restful apis compliance terraform payroll aws rfp finance project estimation

Work Mode

Work from Office

Job Type

Full Time

Job Description

Skill required: Tech for Operations - Technology Architecture
Designation: AI LLM Technology Architecture Assoc Dir
Qualifications:Any Graduation
Years of Experience:18 to 28 years
What would you do

Lead the design of end-to-end enterprise architecture with integrated AI/GenAI capabilities.

Translate functional business processes from Finance & Accounting, Human Resources, and Insurance domains into intelligent technical solutions.

Architect scalable agentic workflows to enable automation and self-service across operations.

Collaborate with business, functional, and engineering teams to align technology strategies with domain-specific goals.

Guide engineering teams through implementation, code reviews, and architectural best practices.

Mentor architects and developers, providing governance over technology standards.

Contribute to solutioning, RFP responses, and estimation in pre-sales activities.

Map business workflows to technical components and drive intelligent automation across the specified domains.
What are we looking for

Over 18 years of industry experience with deep expertise in designing scalable, secure, and intelligent enterprise solutions.

Strong techno-functional profile with hands-on leadership in AI/GenAI architectures.

Proven domain knowledge in Finance & Accounting, Human Resources, and Insurance verticals.

Expertise in core technical skills:cloud platforms (AWS, Azure, GCP), backend technologies (Java, .NET, Python, Node.js), and architecture frameworks (Microservices, RESTful APIs, Kubernetes, event-driven design).

Knowledge in data technologies including RDBMS, NoSQL, ETL pipelines, Data Lakes, and streaming.

Familiarity with DevOps and infrastructure tools like CI/CD, Terraform, Ansible, Jenkins, and Docker.

AI & GenAI expertise including LLMs (GPT-4, Claude, Gemini), prompt engineering, fine-tuning, frameworks (LangChain, LlamaIndex, Semantic Kernel), architecting RAG solutions, intelligent agent design, AI Ops tools (MLflow, SageMaker, Vertex AI), and understanding of model governance, bias detection, and compliance standards.

Strong functional knowledge of domain-specific processes such as Procure-to-Pay, Order-to-Cash, Record-to-Report, payroll, onboarding/offboarding, policy administration, claims processing
Roles and Responsibilities:

Deliver enterprise-grade, AI-enabled, multi-tenant platforms and agentic solutions that drive digital transformation at scale.

Lead architecture design to ensure compliance, scalability, and performance of AI-driven systems.

Ensure alignment of technology strategies with business and domain-specific goals.

Provide technical leadership and governance including mentoring architects and developers.

Oversee the implementation of architectural best practices through collaboration with engineering teams.

Participate actively in pre-sales activities including solutioning, responding to RFPs, and project estimation.

Drive automation and self-service capabilities through intelligent agentic workflows.

Maintain domain expertise to correctly map business workflows into technical solutions across Finance & Accounting, HR, and Insurance industries.
QualificationAny Graduation

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AI LLM Technology Architecture Assoc Dir