Technical Architect 8
InformaticaResponsibilities
- Lead pre-sales technical design and recommend Agentforce solutions integrated with external agent frameworks.
- Design agent interoperability between Agentforce and hyperscaler agents such as Copilot and Gemini using MCP and A2A.
- Configure conversational and background agents with Agentforce Studio and Agent Builder, including voice-channel integrations.
- Lead prompt design, testing, monitoring, iteration, and agent lifecycle strategy.
- Build hands-on prototypes, demos, proof-of-value solutions, and enablement materials with account executives, solution engineers, customers, and product teams.
- Integrate Data Cloud/Data 360, CRM, MuleSoft APIs, external agent endpoints, hyperscaler services, and enterprise data ecosystems.
- Own architecture decisions involving data modeling, identity resolution, data graphs, activation, and real-time versus batch patterns.
- Create technical documentation, whitepapers, knowledge bases, FAQs, demo templates, and internal enablement sessions.
- Support early post-sale adoption by tuning agents and helping customers become self-sufficient.
Requirements
- 7+ years of hands-on experience designing and delivering enterprise data, analytics, and AI architectures, particularly in technical pre-sales or consulting environments.
- Strong understanding of external agent ecosystems, interoperability, and open integration standards.
- Experience with prompt engineering, agent lifecycle management, hands-on prototype development, and machine learning concepts including predictive and generative AI.
- Deep expertise with modern cloud data platforms such as Snowflake, Databricks, BigQuery, and Redshift, including batch, streaming, and CDC ingestion patterns.
- Programming proficiency in JavaScript, Python, SQL, or R, with experience using pandas or Jupyter.
- Strong presentation, communication, stakeholder guidance, and technical education skills.
- Hands-on Salesforce Agentforce experience and deep fluency with Data 360 and core Salesforce platform services preferred.
- Experience integrating Salesforce with external agents through APIs and open standards such as MCP and A2A preferred.
- Familiarity with prompt governance, observability, monitoring frameworks, cross-platform integrations, conversational voice pipelines, and multimodal integrations preferred.
- Exposure to TensorFlow, PyTorch, MLOps practices, and cloud AI platforms such as Google Vertex AI or AWS SageMaker preferred.
Benefits
- Salesforce offers benefits and resources intended to support balance and employee well-being.
- Salesforce provides an inclusive recruiting process, reasonable accommodations, and a disability interview scheme for eligible UK applicants.
Tech Stack
Categories
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com