Director of Solutions Architecture

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.
• 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.
• Required qualifications
• 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.

Requirements

• 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.
• #LI-AJ1

Benefits

Additional Information

Lead solution architecture on consulting engagements for Intelligent Applications: shape discovery (hypotheses, current-state, constraints, options), drive architectural engagement across client stakeholders and supplier ecosystems, embed architecture in SDLC cadence (milestones, environments, release/architecture checkpoints), and oversee delivery operations implications-observability acceptance, hypercare criteria, knowledge transfer, and steady-state architectural guardrails. Partner **FDE** leads so decisions ship. Escalate scope, risk, and economics through engagement leadership and functional group channels-not as autonomous practice owner.

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Company Intel

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