Job Title: Principal Architect - LLM Agents & Multi-Agent Frameworks
Summary: We are looking for a visionary Principal Architect to lead the design, development, and deployment of AI-powered solutions. This role is crucial in shaping our platform's future by architecting intelligent agents and multi-agent frameworks using the latest advancements in Large Language Models (LLMs). The ideal candidate will have over 12 years of software engineering experience, with at least 5 years focused on AI/ML. They will possess deep expertise across the full stack, including frontend frameworks like React and Angular, backend technologies like Node.js and Python, and cloud platforms such as AWS, Azure, or GCP. Responsibilities include leading architectural design, integrating AI agents with core systems, developing APIs, and collaborating with data scientists to fine-tune LLMs. The role also involves establishing ML Ops practices, designing data pipelines, and mentoring junior engineers. Strong problem-solving skills, excellent communication, and a passion for continuous learning are essential.
Responsibilities:
· Lead Architectural Design:
o Define and evolve the overall architecture for LLM-powered agents and multi-agent systems that optimize agent economics over time.
o Design and implement robust, scalable, and maintainable microservices architectures.
o Ensure seamless integration of AI Agents leveraging protocols like MCP with other core systems and databases.
o Oversee the development of APIs and SDKs for internal and external consumption.
· Full-Stack Expertise:
o Possess deep expertise across the full stack, including:
o Frontend: React, Angular, Vue.js, or similar frameworks.
o Backend: Node.js, Python (with frameworks like Flask, Django, or FastAPI), Java, or other relevant languages.
o Database: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Cassandra), and experience with database design, optimization, and management.
o Cloud Platforms: Any 02 out of AWS, Azure, GCP (experience with serverless computing, containerization, and cloud-native technologies is a must).
· Model Building & Fine-tuning:
o Collaborate with data scientists and ML engineers to fine-tune and optimize LLMs for specific tasks and domains.
o Develop and implement robust model evaluation and monitoring systems such as Arize, LangSmith etc.
o Stay abreast of the latest advancements in LLM research and development.
o Hands-on experience with agent frameworks like MAF, Autogen, AWS Agent Framework, LangGraph etc.
· Prompt Engineering & LLM Integration:
o Develop and refine effective prompting strategies to maximize the performance of LLMs.
o Design and implement mechanisms for safe and reliable LLM integration.
o Address challenges related to bias, hallucinations, and other potential LLM limitations.
· ML Ops & Observability:
o Establish and maintain robust ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking.
o Implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability.
· Data Engineering:
o Design and implement data pipelines for efficient data ingestion, transformation, and storage.
o Ensure data quality and security throughout the data lifecycle.
· Team Leadership & Mentorship:
o Guide and mentor junior engineers in best practices for development and deployment of agents.
o Foster a culture of innovation, collaboration, and continuous learning within the team.
Qualifications:
- Proven Experience: 12+ years of experience in software engineering with a strong focus on AI/ML for at least 05 years.
- Deep LLM Expertise: Demonstrated expertise in building and deploying applications powered by LLMs (e.g., GPT, Claude 3.5).
- Full-Stack Proficiency: Strong hands-on experience with frontend, backend, and cloud technologies.
- Architectural Skills: Proven ability to design and implement complex, scalable, and maintainable architectures.
- Data Engineering Skills: Experience with data pipelines, data warehousing, and data analysis.
- ML Ops & Observability: Experience with ML Ops best practices, including CI/CD, model versioning, and monitoring.
- Communication & Collaboration: Excellent communication, collaboration, and leadership skills.
- Strong Problem-Solving & Analytical Skills: Ability to analyze complex problems and develop innovative solutions.
- Continuous Learning: Passion for learning and staying up to date with the latest advancements in AI/ML.
Quem somos:
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram retornos concretos e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em www.cognizant.com ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
