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Solutions Engineer – Full Stack & AI

  • Source: LinkedIn
  • Top Gen AI Jobs
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Home/Jobs/Solutions Engineer – Full Stack & AI

Solutions Engineer – Full Stack & AI

Amgen

Hyderabad

8-12 years

1 day ago

$65.1K–86.7K/yr

Full-time

Onsite

Skills Required LLM

RAG

agentic workflows

Azure OpenAI

embedding-based retrieval

Gen AI

prompt-driven workflows

vector search

AI orchestration frameworks

machine learning libraries

Databricks

Node.js

Python

React

JavaScript

Description Amgen is seeking a senior engineer to design, build, and deliver AI-enabled full-stack solutions supporting Contracting Operations and Revenue Management platforms within Global Commercial Operations and Corporate Functions Technology.

Company: Amgen

Experience

  • 8-12 years of experience
  • Experience designing and developing enterprise-grade, AI-enabled and automation-driven applications
  • Proficient in full-stack development using Python, JavaScript and SQL/NoSQL
  • Experience building scalable microservices and React-based applications
  • Experience developing integrations using Databricks as a middleware platform
  • Hands-on experience with cloud platforms
  • Hands-on experience integrating generative AI solutions including LLMs, agentic workflows, RAG patterns and AI orchestration frameworks

Qualification

  • Bachelor’s degree or master’s degree

Responsibilities

  • Design, build and deliver scalable, enterprise-grade full-stack AI applications
  • Develop and manage integrations leveraging Databricks as middleware
  • Translate business automation requirements into scalable technical designs
  • Contribute to AI-driven use cases including workflow automation and assistant capabilities
  • Rapidly prototype and iterate AI automation solutions
  • Collaborate with architecture, AI platform teams, and cross-functional partners
  • Provide technical leadership through design and code reviews
  • Decompose complex solutions into well-defined components
  • Collaborate with QA and DevOps teams to enhance CI/CD pipelines
  • Own end-to-end delivery of AI automation solutions from design through stabilization

Additional Responsibilities

  • Translate business needs into agentic workflows and production-ready full-stack components
  • Design and implement generative AI full-stack applications and AI-driven automation solutions
  • Develop scalable backend services with Node.js and Python microservices
  • Build and integrate responsive frontend experiences using React
  • Leverage enterprise platforms such as Salesforce, Conga CLM/CPQ, Model N, Databricks, and Anaplan
  • Work with AI assistants and copilots incorporating vector search and embedding-based retrieval
  • Apply understanding of data structures and domain models across contract lifecycle, pricing and revenue management
  • Integrate with enterprise AI services such as Azure OpenAI
  • Strong problem-solving and analytical skills
  • Ability to quickly learn and collaborate across product and engineering teams
  • Evaluate when to use AI-driven versus deterministic approaches
  • Clear communication across technical and non-technical stakeholders
  • Manage multiple priorities in a fast-paced environment
  • Ownership mindset with focus on delivering results
  • Curiosity and willingness to learn new technologies

Nice To Have

  • Familiarity with AI orchestration frameworks, APIs and machine learning libraries
  • Experience configuring workflows, rules or automation within enterprise platforms
  • Experience supporting system integrations or data synchronization processes
  • Experience working in Agile or iterative development environments
  • Demonstrated progression in taking on increasingly complex technical responsibilities within a team setting

More Skills AI-enabled full-stack development, Large Language Model APIs, Salesforce CPQ/CLM, Anaplan, Model N, AI-driven workflow automation, Microservices, APIs, Event-driven architectures, Cloud platforms, SQL/NoSQL

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Skills

  • microsoft-azure
  • azure-databricks
  • databricks
  • NodeJS
  • Python
  • React
  • javascript
  • Salesforce
  • conga
  • conga-clm
  • model-n
  • anaplan
  • ability-lms
  • salesforce-cpq
  • curated
  • payoneer
  • sap
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