8 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Director, Applied AI & Machine Learning (SME)
168Β 400 - 252Β 600$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Director, Applied AI & Machine Learning (SME): Shaping client AI and ML engagements into Azure-based solution visions with an accent on enterprise architecture, executive advisory, and pre-sales strategy. Focus on designing secure Data & AI architectures, leading discovery and solution presentations, and mentoring architects and data scientists through complex sales and delivery engagements.
Location: Remote - US
Base salary: $168,400β$252,600 USD annually, plus eligibility for an annual discretionary/utilization bonus.
Company
delivers Microsoft-platform consulting and Data & AI solutions for enterprise clients.
What you will do
- Shape early-stage client AI and machine learning discussions into solution visions built on Microsoft Azure.
- Partner with sales and account teams on opportunity qualification, solution strategy, pipeline development, and deal closure.
- Lead technical discovery, architecture design, whiteboarding, proposals, architecture reviews, and executive presentations.
- Translate business priorities and value drivers into secure, governed, and outcome-focused Data & AI architectures.
- Develop platform accelerators, reference architectures, delivery playbooks, innovation workshops, and proofs of value.
- Mentor architects, data scientists, and team members across pre-sales and delivery advisory work.
Requirements
- 10+ years of experience in data science, AI, data, or analytics roles, with significant enterprise client exposure.
- Experience leading pre-sales or client-facing technical engagements, including discovery, solution design, and executive presentations.
- Deep hands-on expertise in at least one of Azure Data Services, Azure AI, Synapse/Fabric, or Databricks on Azure.
- Ability to design end-to-end Data & AI solutions aligned with client objectives, security, governance, and regulatory requirements.
- Demonstrated success influencing pipeline progression and closing deals valued at more than $1 million.
- Strong executive presence, communication, storytelling, whiteboarding, and presentation skills.
Culture & Benefits
- Virtual-first approach with a flexible work location within the US.
- 401(k) plan with matching contributions.
- At least 15 days of PTO, nine paid company holidays, and two floating personal days.
- Medical, vision, dental, life, disability, and flexible spending account options.
- Paid leave for birth and non-birth parents, plus a $67 monthly technology and home-office allowance.
- Utilization or discretionary bonus eligibility and an Employee Assistance Program.
Hiring process
- Candidate evaluation includes client-facing technical, architecture, communication, and executive advisory capabilities.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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