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Job Summary:
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. They are seeking a Director of Solutions Architecture to lead solution architecture on consulting engagements for Intelligent Applications, overseeing delivery operations and ensuring alignment between technical choices and business outcomes.
Responsibilities:
• Discovery leadership: structure interviews/workshops; synthesize current-state architecture and integration reality; produce target-state options with explicit trade-offs (cost, risk, time, operability, security, AI posture); define thin slices and kill criteria.
• Architectural engagement: own the architecture narrative with client executives and enterprise/community architects—alignment meetings, steering forums, architecture reviews—translating technical choices into business outcomes and delivery commitments.
• SDLC integration: thread architecture through the engagement lifecycle—baseline/design increments, interface contracts, non-functional profiles (SLO/capacity/security/data classifications), environment strategy, integration sequencing, release/readiness checkpoints; align with client Agile/DevOps or waterfall hybrids without diluting architectural integrity.
• Delivery partnership: joint sequencing with engineering leads—dependency maps, technical spikes, migration/cutover strategies, feature-flag and rollback thinking—so architecture choices remain implementable and verifiable.
• Operations & transition: define operational acceptance for architecture concerns—monitoring/evals for LLM paths, incident/runbook hooks, ownership boundaries client-vs-firm; plan hypercare architecture presence and handoff to client BAU.
• Risk & governance (engagement-scoped): architecture exceptions with transparent rationale; vendor/model/data residency posture appropriate to client policy; escalation paths for security/legal/compliance friction.
• Expectations and Scope: crisp scope boundaries for architecture work products; timely signals on change drivers (discovery surprises, dependency drift); support SOW/pursuit shaping when staffed on pursuits.
• Full-stack IA on the ground: coherent patterns across UX/API → integration/eventing → data → cloud/security → LLM/RAG/agent boundaries for this engagement, reusable as firm collateral where appropriate.
Qualifications:
Required:
• 15+ years equivalent with repeated success leading architecture on enterprise consulting or embedded transformation programs—evidence across discovery → delivery → operate.
• Fluency facilitating discovery with ambiguous sponsors; converting ambiguity into decision-ready architecture artifacts (ADR-style decisions, reference sketches, contract outlines).
• Deep credibility across IA solution domains: integration, application/API architecture, data platforms, cloud/security—and LLM solution risk (eval/monitoring, PII, autonomy boundaries) as delivered, not slideware.
• Executive consulting presence: credible under client scrutiny; constructive tension without burning relationships.
Preferred:
• Industry exposure where regulated AI or legacy estates complicate IA delivery.
• Strong partnership record with engineering directors on forward-deployed programs.
• Nice to have: Engagements bridging applications with Databricks/Snowflake-centric analytics—contracts, lineage, identity, cost/performance classes.
Company:
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is headquartered in Columbia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.