Architect - AI and software

1. Key Responsibilities

2. 1) Architecture & Strategy

• Define end‑to‑end reference architectures for Gen AI solutions (e.g., RAG, fine‑tuning, prompt orchestration, evaluation), low‑code apps/flows, and microservices on AWS & Azure.
• Establish architectural guardrails for data privacy, model usage, multicloud interoperability, and cost efficiency.
• Own technology roadmaps: AI/ML platform evolution, Power Platform environment strategy, integration patterns, event-driven and serverless designs.

3. 2) Generative AI & ML

• Select and integrate foundation models (OpenAI/Azure OpenAI, Amazon Bedrock models, open‑source LLMs) based on task fit, safety, latency, and cost.
• Design secure RAG pipelines (vector stores, embeddings, retrieval) with enterprise data governance.
• Lead Prompt Engineering and LLMOps/MLOps:
• Implement AI safety & responsible AI controls:
• Collaborate on AI productization: APIs, SDKs, batch/stream inference, caching, throttling, and resiliency patterns.

4. 3) Low‑Code Platform Architecture (Power Platform)

• Define environment strategy (Dev/Test/Prod), ALM (solutions, pipelines), and DLP policies for Power Platform.
• Architect Power Automate flows, Power Apps (canvas/model‑driven), Power Pages, Dataverse schema, and custom connectors.
• Integrate with line‑of‑business systems (Dynamics 365, SAP, Salesforce, ServiceNow), modern APIs, and event sources.
• Establish CoE (Center of Excellence) governance: templates, controls, monitoring, auditing, and citizen developer enablement.

5. 4) Cloud Architecture (AWS & Microsoft Azure)

• Design microservices and serverless architectures: AWS Lambda, API Gateway, DynamoDB/S3/Step Functions; Azure Functions, API Management, Cosmos DB/Storage/Logic Apps.
• Define DevSecOps pipelines (GitHub Actions/Azure DevOps/CodePipeline), IaC (Terraform/Bicep/CloudFormation), secrets management (AWS Secrets Manager/Azure Key Vault).

6. 6) Leadership & Delivery

• Mentor architects/engineers, review designs/PRs, and elevate engineering craft.
• Partner with product, security, and operations to translate business outcomes into robust architectures.
• Lead architecture decision records (ADRs), run technical councils, and communicate trade‑offs clearly to stakeholders.

7. Required Qualifications

• 12+ years in software engineering/architecture, with 5+ years in cloud-native architectures (AWS and/or Azure).
• Hands-on Gen AI experience: Azure OpenAI / OpenAI API, Amazon Bedrock, or open-source LLMs; building RAG systems; prompt engineering; evaluation tooling.
• Power Platform expertise: Power Automate, Power Apps, Dataverse, environment strategy, DLP, ALM; custom connectors and governance.
• Strong in distributed systems, API design, event-driven patterns, and serverless.
• Proficient with IaC (Terraform/Bicep/CloudFormation), CI/CD, and containerization (Docker/Kubernetes: AKS/EKS).
• Solid understanding of identity & security (OAuth/OIDC, JWT, RBAC, conditional access, Zero Trust).
• Excellent communication; proven ability to lead architecture across multiple teams.

8. Preferred / Nice to Have

• Experience with vector databases
• Knowledge of data platforms (Synapse, Fabric, Databricks, Snowflake, Redshift, Glue).
• Familiarity with observability stacks (Prometheus/Grafana, ELK/OpenSearch, OpenTelemetry).
• Background in compliance and Responsible AI governance frameworks.
• Experience setting up a Power Platform CoE and citizen developer programs.
• Exposure to Dynamics 365, SharePoint, Teams extensibility (Power Fx, Power Virtual Agents/Copilot Studio).

9. Core Competencies

• Architectural Thinking: Balances long-term platform strategy with near-term delivery.
• Pragmatism & Trade‑off Analysis: Cost, security, performance, and time-to-market.
• Technical Leadership: Mentorship, code/design reviews, and stakeholder influence.
• Systems Design & Documentation: ADRs, sequence diagrams, deployment topologies, threat models.
• Governance & Risk Management: Enforces standards without stifling innovation.
• Customer-Centricity: Frames solutions in business outcomes and measurable KPIs.

10. Tools & Technologies (Representative)

• AI/LLM: Azure OpenAI, OpenAI, Amazon Bedrock, LangChain/LlamaIndex, embeddings, vector search.
• Low‑Code: Power Automate, Power Apps, Power Pages, Dataverse, custom connectors, ALM pipelines.
• AWS: Lambda, API Gateway, Step Functions, S3, DynamoDB, ECS/EKS, CloudWatch, IAM, KMS, EventBridge.
• Azure: Azure Functions, API Management, Cosmos DB, Storage, Service Bus/Event Hubs, Azure Monitor/App Insights, Azure AD, Key Vault.
• DevOps/IaC: GitHub Actions, Azure DevOps, AWS Code* services, Terraform, Bicep, CloudFormation, Docker, Kubernetes.
• Data & Integration: REST/gRPC, GraphQL, messaging, ETL/ELT frameworks, Fabric/Synapse/Databricks (optional).

11. Success Metrics (KPIs)

• Time‑to‑production for AI and low‑code solutions; % of use cases delivered via governed low‑code.
• Platform reliability (SLO adherence), security posture (audit findings), and cost efficiency (unit economics).
• Adoption of reference architectures and reduction in architectural drift.
• Reuse of components (SDKs, connectors, templates) and developer productivity improvements.
• Measurable Responsible AI outcomes (safety eval pass rates, incident reduction).

12. Education & Certifications

• Bachelor’s/Master’s in Computer Science, Engineering, or equivalent experience.
• Preferred: AWS Solutions Architect Professional, Azure Solutions Architect Expert, Microsoft Power Platform Solution Architect Expert, Azure AI Engineer Associate.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.