Enterprise AI Architect JD:
What You Will Do
• Design and implement context architectures for LLM apps and agents: schemas, memory patterns, context assembly, and context window management.
• Build and optimize RAG pipelines (chunking, embeddings, hybrid retrieval, re-ranking) and validate quality using repeatable evaluation harnesses.
• Develop system prompts, prompt libraries, and structured output patterns; harden solutions against prompt injection and jailbreak attempts.
• Implement agentic workflows and tool-use integrations (APIs, function calling, workflow engines) with clear guardrails and observability.
• Engineer memory and persistence patterns (session memory, episodic recall, vector memory) appropriate for enterprise privacy and retention needs.
• Work with enterprise data and app teams to connect AI solutions to real systems (ERP/SCM/CRM, data lakes/warehouses), ensuring secure access and correct semantics.
• Collaborate with delivery leads to break work into stories, estimate effort, and drive day-to-day execution; mentor engineers through reviews and pairing.
• Use systematic optimization (prompt/context tuning, retrieval experiments, DSPy-style approaches) to improve reliability, latency, and cost.
What You Bring
AI Engineering Skills
• Strong Python skills and ability to ship production services.
• Hands-on expertise with RAG: embeddings, vector stores, retrieval strategies, re-ranking, and grounding techniques.
• Strong prompt and context engineering: system prompts, structured outputs, tool-use prompting, and context assembly patterns.
• Experience building agentic systems with orchestration frameworks (or custom implementations) and designing safe tool integrations.
• Awareness of security threats (prompt injection, data exfiltration) and ability to implement practical mitigations and guardrails.
Enterprise Integration Background
• Experience integrating AI apps with enterprise services, data sources, and identity (SSO/IAM), including secure network and secrets handling.
• Ability to work with structured and unstructured enterprise data; understand governance/lineage enough to avoid incorrect or unsafe data use.
• Comfort operating within enterprise SDLC controls: CI/CD, change management, security reviews, and production incident response.
• Working knowledge of enterprise workflows and process context so AI solutions map to real operations and decision points.
Tools & Platforms
• Python; common LLM/RAG frameworks (LangChain, LlamaIndex, Haystack or equivalent).
• Vector databases and search stacks (pgvector, Pinecone, Weaviate, Milvus, Elasticsearch/OpenSearch).
• Memory and state management approaches (session stores, vector memory, durable stores) appropriate for privacy and retention constraints.
• Evaluation and observability tooling (RAGAS, LangSmith/Phoenix or equivalent) and ability to build custom eval pipelines.
Preferred Qualifications
• B.Tech / M.Tech in CS, Engineering, or Linguistics; research background in NLP or information retrieval is a plus.
• Published work, open-source contributions, or internal frameworks related to context management or prompt engineering.
• Prior consulting or professional services experience — ability to adapt context design to diverse client environments quickly
La Comunidad Cognizant:
Somos un equipo que se aprecia y apoya mutuamente. Nuestros asociados trabajan en un entorno colaborativo e integrador en el que todos pueden prosperar.
- Cognizant es una comunidad global con más de 300.000+ asociados en todo el mundo.
- No solo soñamos con un mundo mejor, sino que trabajamos para hacerlo realidad.
- Cuidamos de nuestros asociados, clientes, socios, comunidades y entorno haciendo lo correcto.
- Fomentamos un entorno innovador en el que puedes desarrollar tu carrera profesional.
Acerca de nosotros
Cognizant (NASDAQ: CTSH) es arquitecto de soluciones de IA y proveedor de servicios tecnológicos que traduce la inversión en inteligencia artificial en valor empresarial real mediante soluciones de IA de stack completo adaptadas a cada cliente. Su profundo conocimiento de la industria, los procesos y la ingeniería le permite integrar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan un impacto real en el negocio y mantienen a las grandes empresas globales un paso adelante en un mundo en constante cambio. Para más información, visita www.cognizant.es o síguenos en @cognizant.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Advertencia:
La información sobre remuneración es exacta a la fecha de esta publicación. Cognizant se reserva el derecho a modificar esta información en cualquier momento, sujeto a la legislación aplicable.Es posible que los candidatos deban asistir a entrevistas en persona o por videoconferencia e, incluso, que tengan presentar su documento de identidad vigente, durante cada entrevista.