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Company Overview
Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.
Job Overview
Job Overview
We’re hiring an Enterprise Architect to define and govern the technical blueprint for an AI-first, data-centric platform. The role spans target architecture, reference patterns, and guardrails across orchestration, knowledge systems, retrieval pipelines, security, and operations. You’ll partner with product, security, data, and engineering leads to translate business outcomes into resilient, scalable designs-then guide teams to deliver them with measurable quality, cost, and reliability.
Key Responsibilities
Target Architecture & Roadmap: Define the end-to-end architecture (experience, orchestration, agents/tools, data/knowledge, security, observability) and a phased roadmap.
Reference Patterns & Standards: Establish patterns for multi-agent orchestration, connector/adapter design, model routing, policy-as-code, and evaluation/observability; produce reference implementations.
Knowledge & Retrieval: Architect the coexistence of knowledge graph reasoning and retrieval (RAG) baselines; select graph/embedding stores, query patterns, and caching strategies.
Integration & Platform Services: Define typed interfaces and contracts for AI engines, vector/graph stores, SQL/warehouse, and external tools; standardize retries, idempotency, and failure isolation.
Security & Governance: Embed SSO/IDP, secret management, entitlement models (role/row/column), data minimization, auditability, and red-team controls into the design.
Evaluation & SLOs: Institutionalize quality gates (faithfulness/correctness, precision/recall, latency), automated re-evaluation on change, and service SLOs with error budgets.
Operability: Drive choices for tracing/logging/metrics, incident response, capacity planning, and cost/performance budgets; ensure CI/CD, IaC, and environment promotion gates.
Technical Leadership: Review designs/PRs, mentor leads, resolve cross-team trade-offs, and communicate architecture decisions to technical and non-technical stakeholders.
Required Skills
Architecture Mastery: 3-5+ years designing distributed systems or platforms (microservices, event-driven, API-first) on cloud environments.
AI/LLM Platform Patterns: Practical experience with multi-agent orchestration, model/embedding selection, RAG pipelines, and knowledge graph solutions.
Data & Knowledge Stores: Hands-on with one or more: graph DBs (RDF/SPARQL or property graph/Gremlin), vector DBs (pgvector, Milvus, Pinecone, Weaviate), SQL/warehouse.
Security-by-Design: SSO/OAuth/OIDC, secrets management, least-privilege design, policy-as-code, audit logging, and data privacy controls.
Interfaces & Contracts: Strong API design (REST/gRPC), typed schemas (OpenAPI/JSON Schema), error taxonomies, idempotency, and backoff strategies.
Observability & Reliability: OpenTelemetry (traces/metrics/logs), call graphs, SLOs/error budgets, resiliency patterns (circuit breakers, bulkheads, retries, backpressure).
DevOps & Delivery: IaC (Terraform/CloudFormation), CI/CD, artifact/version management, environment promotion and change control.
Communication & Leadership: Clear decision records, stakeholder alignment, and the ability to mentor senior engineers and influence across teams.
Good to Have Skills
Graph & Query Expertise: SPARQL, SHACL, Gremlin/PGQL; ontology/taxonomy stewardship and data lineage/provenance.
Evaluation Tooling: Experience with LLM evaluation harnesses (e.g., custom scoring frameworks, judge models, A/B test rigs), regression dashboards, and automated re-eval pipelines.
Model & Tooling Ecosystem: Familiarity with OpenAI, open-weights (Llama/Mistral), and connector protocols (e.g., MCP-style adapters).
Runtime & Infra: Service mesh (Istio/Linkerd), API gateways, Kafka/event streaming, feature flags, multi-tenancy, and cost governance for model/runtime spend.
Security & Compliance: Exposure to SOC 2/ISO 27001 (or comparable) practices; prompt-injection mitigation and data-exfiltration controls for LLMs.
Languages & Stacks: Proficiency in one or more: Python, TypeScript/Node.js; comfortable reading/writing infra and application code to produce reference blueprints.
UX & HITL Patterns: Designing clear approval flows and rationale/explanation UX for human-in-the-loop actions.
This role is ideal for a hands-on architect who can set a clear architectural runway, codify patterns, and steer multiple teams toward secure, explainable, and cost-effective AI capabilities at enterprise scale.
Compensation
Estimated Pay Range:
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.
Our Commitment to Diversity & Inclusion
At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.
Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.
We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.
