6 hours ago
Pune, IndiaStaff+
Responsibilities
- Own SPARK’s technical architecture, technology stack, reference architectures, reusable patterns, and architecture decisions.
- Design and build agentic AI solutions with tool use, multi-step reasoning, memory, multi-agent coordination, and human-in-the-loop controls.
- Build RAG pipelines and integrations with Salesforce, ServiceNow, Workday, Microsoft 365, APIs, and MCP.
- Develop prototypes and harden them into enterprise-grade tools with security, access control, privacy, reliability, scalability, observability, and cost management.
- Establish CI/CD, automated testing, evaluation pipelines, monitoring, rollback, LLM test sets, regression tests, hallucination checks, and quality dashboards.
- Advise business teams, project managers, and senior leaders on feasibility, trade-offs, effort, risk, and responsible AI.
- Review designs and code, mentor the Technical AI Architect & Builder, and collaborate with platform, security, legal, and architecture teams.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience; a master’s degree is preferred.
- 10+ years of software engineering experience, including 3+ years designing and delivering LLM-powered or agentic AI systems in production.
- Expert hands-on development skills in Python and/or TypeScript.
- Deep experience with agent and orchestration frameworks such as LangGraph, LangChain, or AutoGen, MCP, and RAG architectures with vector databases.
- Strong knowledge of LLM providers and APIs including Anthropic Claude, OpenAI, Azure OpenAI, Gemini, and open-source models, including prompt design, structured outputs, and evaluation.
- Experience with Azure, AWS, or GCP and with REST API, event-driven, and microservice design.
- Strong understanding of security, privacy, and responsible AI practices for enterprise systems.
- Ability to work independently, advise stakeholders, own technical decisions in ambiguous situations, and communicate complex AI concepts to executives and nontechnical colleagues.
- Preferred qualifications include experience with AI centers of excellence, innovation labs, internal incubators, Cognigy, NiCE CXone, CCaaS, conversational or voice AI, Salesforce, ServiceNow, Workday, Atlassian, Microsoft 365, LLMOps, OpenTelemetry, prompt registries, cost governance, open-source model fine-tuning or evaluation, N8N, market-ready software applications, or German.
Benefits
- NiCE-FLEX hybrid work model with two days in the office and three days working remotely each week.
- Opportunity to be a founding member of a new internal AI incubation team and shape tools used globally across NiCE.
- Fast-paced, collaborative, creative environment with learning opportunities and internal career paths across roles, disciplines, domains, and locations.
Categories
About NICE
NICE builds cloud contact center platforms, customer analytics, and workforce optimization tools for enterprises and public sector agencies, including public safety recording. Its portfolio includes CXone (CCaaS), digital self-service, interaction recording, RPA, and financial crime and compliance solutions through NICE Actimize. Founded in 1986 and headquartered in Hoboken, New Jersey, NICE is a public company traded on NASDAQ under the ticker NICE, serving customers in 150+ countries.