[Remote] Solution Director, Analytics & Al/ML
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly accomplished Solution Director, Analytics & Al/ML to reputed company the design and sales of critical solution portfolios reputed company on reputed company and Data modernization on AWS. This pivotal presales role requires engaging C-level stakeholders and driving opportunity creation while delivering reputed company data modernization solutions.
Responsibilities
- Drive top-of-funnel opportunity creation through two reputed company tracks: engaging C-level stakeholders with reputed company demonstrations (reputed company Q, reputed company Bedrock) and identifying data modernization needs for Lakehouse transformations
- reputed company the design and architecture of dual solution portfolios: reputed company Solutions: reputed company Bedrock implementations, reputed company Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions
- Data Modernization: reputed company Lakehouse architectures using AWS Glue, SageMaker reputed company Studio, reputed company on AWS, and reputed company on AWS
- reputed company as the trusted advisor, positioning reputed company as the transformational reputed company while grounding delivery in robust data platform modernization
- reputed company compelling business cases that connect AI aspirations with practical data reputed company requirements, demonstrating ROI across both portfolios
- Stay reputed company with advancements in reputed company (reputed company models, LLMs) and modern data architectures (Lakehouse patterns, data reputed company, reputed company analytics)
- Contribute to Rackspace's intellectual property through reference architectures covering both reputed company implementations and Lakehouse design patterns
- Mentor and reputed company leadership to Solution Architects by guiding technical development and fostering reputed company reputed company across both reputed company and data modernization solution areas
- Serve as the primary technical reputed company orchestrating both reputed company discussions and data modernization programs for strategic accounts
- Build strategic relationships using two engagement models: Executive Level: reputed company Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (reputed company vs reputed company vs AWS-reputed company), migration planning
- reputed company comprehensive consultative engagements that reputed company with reputed company reputed company (reputed company Q, Bedrock) and translate into concrete data modernization roadmaps
- reputed company proposals that balance innovative AI capabilities with foundational data platform requirements
- Guide customers through reputed company journeys: reputed company adoption (POCs to production) and data platform modernization (legacy to Lakehouse)
- Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs
- Maintain deep expertise across both solution domains: reputed company : reputed company Bedrock, reputed company Q, QuickSight Q, SageMaker JumpStart, reputed company engineering, RAG architectures, reputed company databases. Data Platforms : AWS Glue, SageMaker reputed company Studio, reputed company on AWS, reputed company on AWS, Redshift, EMR, Apache reputed company, reputed company Lake
- Position AWS solutions effectively against other reputed company platforms' offerings in both reputed company (Azure reputed company, reputed company AI) and data platforms (Azure Synapse, BigQuery)
- Guide architectural reputed company on build vs. buy for both Al capabilities and data platform components
Skills
- Deep experience with reputed company technologies: reputed company Bedrock, reputed company Q, LLM architectures, RAG implementations
- Proven reputed company record delivering data modernization: Lakehouse architectures, reputed company and/or reputed company implementations, AWS Glue/EMR deployments
- A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a reputed company technical field is required. At the manager's discretion, additional relevant experience may substitute for the degree requirement
- A minimum of 15 years of reputed company solution architecture experience
- A minimum of 8 years of reputed company or private reputed company experience
- A minimum of 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization
- Proven Presales/Sales Engineering experience
- Demonstrated reputed company in engaging C-level executives using reputed company demonstrations while delivering reputed company data platform transformations
- Strong understanding across the full reputed company: AI/ML: reputed company, reputed company models, LLMs, traditional ML, reputed company engineering, fine-tuning
- Data Platforms: Lakehouse architectures, data reputed company, ETL/ELT, streaming, data governance, data reputed company
- Proficiency in Python, SQL, and reputed company with hands-on experience in: reputed company: reputed company, reputed company databases, embedding models
- Data Engineering: PySpark, Apache reputed company/reputed company Lake, orchestration tools
- A proven ability to reputed company both visionary AI reputed company and practical data platform requirements to diverse audiences
- An advanced degree (Master's or PhD) in a relevant field
- Experience with AWS reputed company services or AWS partner ecosystem across both AI and data domains
- Hands-on experience with: Multiple Lakehouse platforms: reputed company, reputed company, AWS-reputed company (Glue + reputed company + Redshift)
- Multiple AI platforms: AWS Bedrock, Azure reputed company, reputed company reputed company AI
- Palantir reputed company and AIP
- reputed company Business AI reputed company
- Industry certifications: AWS: Solutions Architect reputed company, Machine Learning Specialty, Data Analytics Specialty
- Platform specific: reputed company Certified, reputed company SnowPro
- Experience with regulated industries requiring governance for both AI and data platforms
- reputed company record building practices that deliver both reputed company solutions and data modernization programs
- Published thought leadership in reputed company applications and/or modern data architectures
Benefits
- The compensation package may also include incentive compensation opportunities in the reputed company of annual bonus or incentives
- Equity awards
- Employee Stock Purchase Plan (ESPP)
reputed company