Job Description - add details here
Seeking a senior solutions architect with strong solution engineering background to lead architecture, prototyping, and delivery across four high-impact initiatives: Immigration & Minors Case Management, Global Ethics & Compliance Management (GECM), AI-enabled eDiscovery Strategy, and eDiscovery Transformation. You will partner with Legal, HR, Global Ethics & Compliance, Privacy, and Enterprise Technology to design secure, scalable, AI-enabled solutions that reduce risk, increase throughput, and lower external spend-while leveraging existing enterprise platforms whenever possible.
Responsibilities
Own the end-to-end solution architecture and technical roadmap across four programs, aligning to enterprise standards, data protection requirements, and shared technology services.
Pair architecture with hands-on engineering: build PoCs, reference implementations, integration adapters, IaC modules, and CI/CD pipelines to de-risk delivery and accelerate time-to-value.
Drive build-vs-buy decisions, RFPs, vendor evaluations, and TCO modeling; maximize reuse of existing enterprise platforms and AI capabilities.
Define non-functional requirements, SLAs/SLOs, and performance/scalability targets; design for resilience, observability, and cost efficiency.
Embed privacy-by-design and security-by-design: DPIAs, threat modeling, data minimization, encryption/tokenization, DLP, retention/Legal Hold, and auditability.
Establish data architecture for PII, PCI, and sensitive matter data: classification, lineage, retention, and defensible disposal compliant with GDPR, PIPL, CCPA/CPRA, ISPS, and RIM.
Lead change management alongside product and legal ops: target operating model, roles/skills, process redesign, training, and adoption metrics.
Create and maintain solution blueprints, sequence diagrams, integration contracts, data models, and runbooks; mentor teams on best practices.
Basic Qualifications
10+ years in solution architecture with 5+ years hands-on solution engineering (you still code when it matters).
Proven delivery of secure, data-intensive enterprise solutions in legal, compliance, HR, or adjacent regulated domains.
Strong with one or more clouds (AWS, Azure, GCP) and enterprise SaaS; can design hybrid patterns with private networking, KMS, and secrets management.
AI/ML literacy including LLM usage patterns: RAG, vector search, embeddings, prompt engineering, evaluation, guardrails, and model/service selection; understanding of AI risks and governance.
eDiscovery domain familiarity: EDRM phases, TAR/CAL, legal hold, privilege review, defensibility standards.
Privacy and security: GDPR, PIPL, CCPA/CPRA, RIM, DPIA, data minimization, encryption/tokenization, DLP, least privilege; experience collaborating with Privacy and InfoSec.
Integration expertise: event-driven architectures, APIs, ETL/ELT, data modeling, streaming, and workflow orchestration.
Excellent stakeholder management; able to translate legal/compliance needs into technical designs and measurable outcomes
Preferred Qualifications
Experience with at least two of the following: ServiceNow, Salesforce, Appian/Pega, Microsoft Purview eDiscovery, Relativity/RelativityOne, Reveal/Brainspace, Nuix, Exterro, OpenText, M365/Google Vault, NAVEX/Convercent, Workday, Okta/Azure AD.
Hands-on engineering: Python/TypeScript/Java; API design; data pipelines; OCR/NLP; vector databases/search; microservices; IaC (Terraform); containers/Kubernetes; CI/CD; observability (OpenTelemetry).
Architecture frameworks (e.g., TOGAF) and cloud certifications (AWS/Azure/GCP architect-level).
Experience with records management, defensible disposition, and audit readiness.
Background supporting immigration/HR compliance or minors' data protection is a plus.
Education
STEM degree
Skills and Requirements - add details here
Basic Qualifications
10+ years in solution architecture with 5+ years hands-on solution engineering (you still code when it matters).
Proven delivery of secure, data-intensive enterprise solutions in legal, compliance, HR, or adjacent regulated domains.
Strong with one or more clouds (AWS, Azure, GCP) and enterprise SaaS; can design hybrid patterns with private networking, KMS, and secrets management.
AI/ML literacy including LLM usage patterns: RAG, vector search, embeddings, prompt engineering, evaluation, guardrails, and model/service selection; understanding of AI risks and governance.
eDiscovery domain familiarity: EDRM phases, TAR/CAL, legal hold, privilege review, defensibility standards.
Privacy and security: GDPR, PIPL, CCPA/CPRA, RIM, DPIA, data minimization, encryption/tokenization, DLP, least privilege; experience collaborating with Privacy and InfoSec.
Integration expertise: event-driven architectures, APIs, ETL/ELT, data modeling, streaming, and workflow orchestration.
Excellent stakeholder management; able to translate legal/compliance needs into technical designs and measurable outcomes
Preferred Qualifications
Experience with at least two of the following: ServiceNow, Salesforce, Appian/Pega, Microsoft Purview eDiscovery, Relativity/RelativityOne, Reveal/Brainspace, Nuix, Exterro, OpenText, M365/Google Vault, NAVEX/Convercent, Workday, Okta/Azure AD.
Hands-on engineering: Python/TypeScript/Java; API design; data pipelines; OCR/NLP; vector databases/search; microservices; IaC (Terraform); containers/Kubernetes; CI/CD; observability (OpenTelemetry).
Architecture frameworks (e.g., TOGAF) and cloud certifications (AWS/Azure/GCP architect-level).
Experience with records management, defensible disposition, and audit readiness.
Background supporting immigration/HR compliance or minors' data protection is a plus.
