2 days ago
Kochi, IndiaEntry Level
Responsibilities
- Design scalable, secure, reliable, and maintainable AI and Generative AI solution architectures for business requirements.
- Define architecture patterns for Generative AI, Agentic AI, RAG, machine learning, intelligent automation, conversational AI, and AI-enabled enterprise applications.
- Collaborate with business and technology stakeholders to evaluate use cases, assess feasibility, select technologies, and create implementation roadmaps.
- Translate business and technical requirements into architecture designs, diagrams, integration patterns, and technical specifications.
- Design AI solutions using managed AI/ML, data, integration, compute, security, and observability services across AWS, Microsoft Azure, and Google Cloud Platform.
- Define LLM application architectures covering prompt orchestration, RAG, vector search, embeddings, model routing, grounding, knowledge bases, agents, tool calling, and multi-agent systems.
- Design integrations connecting AI solutions with APIs, databases, data platforms, SaaS applications, enterprise applications, event-driven systems, and external services.
- Evaluate foundation models, LLMs, embedding models, AI platforms, vector databases, orchestration frameworks, and supporting technologies.
- Define AI security, identity and access management, privacy, guardrails, content filtering, responsible AI, governance, and compliance approaches.
- Create architecture diagrams, sequence diagrams, data flows, integration diagrams, deployment architectures, and architecture decision records.
- Build high-performance Python backend microservices, middleware, and integration endpoints using frameworks such as FastAPI and Flask.
- Develop, test, and refine system prompts, guardrails, and automated evaluation frameworks to improve response accuracy and reduce hallucinations.
Requirements
- Required skills include Generative AI, intelligent automation, conversational AI or agentic AI, LLMs, Python, MCP or A2A, and REST APIs.
- Requires 0–2 years of experience.
- Requires a B.Tech, BE, M.Tech, or MCA degree.
- Preferred experience includes .NET full-stack development, Power Platform development, or VBA/Office Script macros.
- Preferred experience includes Microsoft Power Apps, Power Automate, custom connectors, and automated workflows.
- Preferred experience includes React, Vue, Angular, microservices, enterprise process automation, document intelligence, ServiceNow, or Salesforce.
- Familiarity with data privacy standards, RBAC, responsible AI practices, prompt injection, data leakage, harmful-content prevention, and unauthorized tool-execution controls is preferred.
Tech Stack
Categories
About Conduent
Conduent provides digital business process and customer experience services for government agencies, healthcare organizations, transportation networks, and enterprises. Its offerings span payment processing, eligibility systems, tolling, claims administration, and HR/contact-center platforms, with revenue from long-term outsourcing, software, and transaction fees. Founded in 2017 as a Xerox spin-off, it is headquartered in Florham Park, New Jersey, and listed on Nasdaq as CNDT.