Note: The job is a remote job and is open to candidates in USA. Tredence Inc. is seeking a hands-on AI Growth Leader with deep technical expertise in designing, building, and scaling GenAI and agentic AI systems. The role focuses on architecture, engineering execution, and innovation, owning the end-to-end lifecycle of intelligent systems and driving real-world impact across automation, decision intelligence, and customer experience.
Responsibilities
- Design and implement end-to-end GenAI systems, including: Multi-agent architectures (planner-executor models, autonomous agents) RAG pipelines and knowledge-grounded AI systems Tool-augmented LLM workflows (function calling, API orchestration) Build production-ready AI solutions, not just prototypes, ensuring scalability, reliability, and observability. Develop reusable frameworks, accelerators, and reference architectures for enterprise AI adoption
- Architect and deploy agentic AI solutions with: Memory, reasoning, task decomposition, and self-improvement loops Multi-agent collaboration and orchestration patterns Workflow automation using LLM-driven decision engines Experiment with advanced paradigms such as: Reflection and planning agents Retrieval + reasoning hybrid systems Autonomous pipelines for analytics and operations
- Work hands-on with: Frameworks: LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI Models: OpenAI, Claude, open-source LLMs (Llama, Mistral, etc.) Vector DBs: Pinecone, Weaviate, FAISS, Azure AI Search Build and optimize: Prompt engineering strategies Fine-tuning and adaptation (LoRA, PEFT where applicable) Latency, cost, and inference optimization Implement evaluation pipelines (hallucination detection, grounding accuracy, guardrails)
- Architect and deploy solutions on: Azure OpenAI, AWS Bedrock, Google Vertex AI Build scalable pipelines using: Kubernetes, serverless architectures, API gateways Data pipelines (Airflow, Kubeflow, Spark where needed) Ensure MLOps / LLMOps practices, including: CI/CD for AI systems Model/version lifecycle management Monitoring and feedback loops
- Build POCs, MVPs, and experimental systems rapidly to validate new ideas. Translate ambiguous business problems into working AI solutions quickly. Stay at the cutting edge of: Multimodal AI AI agents and orchestration frameworks Edge AI and lightweight deployments
- Partner with engineering, product, and business teams to translate requirements into robust AI systems. Provide hands-on mentorship to engineers and architects. Drive engineering best practices and AI architectural standards across teams
- Occasionally engage with stakeholders to: Shape use cases and validate architecture Demo working systems and prototypes Focus on showing real implementations rather than presentations
Skills
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
- 10+ years in software engineering / solution architecture
- 5+ years of hands-on AI/ML and GenAI development
- Proven track record of building and deploying AI systems into production
- Developing LLM-based or agentic applications
- Strong experience in coding-heavy roles (not just design/presales)
- Strong programming expertise in Python (mandatory)
- Deep understanding of LLM architectures and limitations
- RAG, embeddings, vector search
- Agent frameworks and orchestration models
- Experience with APIs, microservices, distributed systems
- Docker, Kubernetes, CI/CD pipelines
- Familiarity with security, governance, and AI safety practices
- Cost-performance tradeoffs in large-scale AI systems
- Builder mindset with a passion for hands-on problem solving
- Ability to work in ambiguous, fast-evolving AI environments
- Strong communication skills to explain complex systems simply
- Curiosity and continuous learning attitude
- Contributions to open-source AI projects or research
- Experience with multi-agent systems and autonomous pipelines
- Exposure to industry applications (finance, healthcare, retail, etc.)
- Publications, patents, or thought leadership in AI/GenAI
- Experience optimizing AI systems for scale, latency, and cost
Company Overview
Tredence is a global data science solutions provider focused on solving the last mile problem in AI. It was founded in 2013, and is headquartered in San Jose, California, USA, with a workforce of 1001-5000 employees. Its website is http://tredence.com.Company H1B Sponsorship
Tredence Inc. has a track record of offering H1B sponsorships, with 12 in 2026, 143 in 2025, 103 in 2024, 103 in 2023, 74 in 2022, 69 in 2021, 75 in 2020. Please note that this does not guarantee sponsorship for this specific role.