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Senior Security Architect

Job in New York, New York County, New York, 10261, USA
Listing for: Wolters Kluwer
Full Time position
Listed on 2026-04-17
Job specializations:
  • Software Development
    AI Engineer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

Security Architect, AI Platform & Agents (FAB)

As a Senior Full Stack Engineer on the FAB AI Platform & Agents team, you will design and ship full‑stack systems and AI agent capabilities that enable product teams across /dxg to build, validate, and deploy trustworthy GenAI solutions at scale.

You’ll operate with high ownership—from concept to production—while mentoring engineers and raising the bar on secure, reliable delivery.

FAB is a GenAI platform built by the DXG Advanced Technology Team to accelerate adoption of AI services across Wolters Kluwer divisions, with security and availability expectations formalized in SOC reporting.

The ecosystem includes capabilities for agents
, indexing / retrieval
, and datasets/evaluation & tuning
, with community enablement and reusable reference architectures shared through */dxg channels.

What You’ll Do (key Responsibilities)
  • Build full‑stack platform experiences

    Design and implement full‑stack applications and platform components that enable rapid development, validation, and deployment of AI agents.

    Deliver robust user and developer experiences that move teams from experimentation to production with consistent patterns and reusable building blocks.

  • Engineer production‑grade AI agent systems

    Build and evolve AI agents using current LLM patterns (e.g., retrieval/tool use/routing/evaluations) to improve quality, reliability, and cost efficiency.

    Contribute to standardization of agent implementations via reusable “blueprints/specs” and a registry mindset (schema, CI/CD hooks, runtime contract, governance).

  • Enable evaluation‑driven development (Evals)

    Build developer tooling and workflows for safe iteration: evaluations, rollout/rollback strategies, canaries, telemetry, and quality/cost tracking.

    Partner with domain experts and platform stakeholders to continuously improve agent behavior based on measurable outcomes and structured feedback loops.

  • Operate with security, compliance, and Dev Sec Ops  by default

    Apply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege), aligned to platform control expectations documented for FAB.

    Build/maintain operational readiness practices (release pipelines, change controls, emergency access patterns) in line with FAB Dev Sec Ops  alignment efforts.

    Proactively reduce common classes of vulnerabilities in platform workflows (e.g., mass assignment, parameter tampering) using strict DTO contracts and server‑side validation.

  • Cloud‑native delivery across a hybrid landscape

    Build cloud‑native services across a hybrid deployment model where FAB design/back‑office services are hosted on AWS while enabling runtime services to run on AWS and Azure.

    (Plus) Experience with multimodal ingestion/retrieval pipelines (e.g., document → image transforms → embeddings; vector persistence and search integration) is valuable.

  • Lead through impact and mentorship

    Serve as a hands‑on technical leader: drive architecture, unblock delivery, mentor engineers, and take ownership of larger initiatives.

    Collaborate cross‑functionally (product, UX, engineering, governance) and translate ambiguous problems into crisp execution plans.

What success looks like (examples of outcomes)
  • Improved platform adoption and measurable agent usage (including platform metrics like agent invocations as a proxy for value).
  • Faster, safer delivery via better developer experience and operational excellence metrics (e.g., alignment to DORA/DX‑style measures discussed for FAB).
  • Stronger embedded governance: compliance requirements (e.g., SOC controls) expressed as baked‑in platform capabilities rather than manual checklists.
Required Qualifications
  • 8+ years of professional software engineering experience with strong full‑stack development skills and cloud experience.
  • Expertise in at least one (and working proficiency across others) of: AI agent development & evaluation, backend development, frontend development, cloud services, CI/CD & IaC, SRE/operations, testing strategy, secure SDLC.
  • Proven track record delivering secure, reliable, cloud‑native systems to production; strong ownership and cross‑functional communication.
Our Interview Practices

To maintain a fair and genuine…

Position Requirements
10+ Years work experience
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