- Company Name
- Calix
- Job Title
- AI Solutions Strategist – Strategic Accounts
- Job Description
-
**Job Title:** AI Solutions Strategist – Strategic Accounts
**Role Summary:**
Provide consultative AI strategy and solution design for Tier 1 and Tier 2 enterprise customers. Bridge business needs and AI technology to drive sales growth and deliver value‑based, cloud‑native AI architectures.
**Expectations:**
- Act as trusted advisor for internal and client stakeholders.
- Translate customer challenges into AI solutions that demonstrate measurable business impact.
- Support sales with technical responses, estimates, and proposals.
- Travel globally; must hold valid driver’s license and passport.
**Key Responsibilities:**
- Conduct discovery workshops and assessments to uncover customer pain points and AI opportunities.
- Design end‑to‑end AI/ML solutions (model design, data pipelines, MLOps, platform integration) in GCP, Azure, AWS, or multi‑cloud environments.
- Lead technical responses to RFPs, RFIs, and proposals with architecture diagrams, narratives, cost estimates, and win themes.
- Build and demo proof‑of‑concepts to validate solution approaches.
- Track Generative AI, responsible AI, and emerging use‑cases; advise on technologies such as vector search, RAG pipelines, and prompt engineering.
- Collaborate with account teams to align solutions with commercial cycles and senior‑level stakeholders.
**Required Skills:**
- Proven pre‑sales or client‑facing architecture experience in AI/ML, data science, or analytics.
- Deep technical knowledge of supervised/unsupervised learning, GenAI, LLMs, embeddings, MLOps, and vector search.
- Hands‑on experience with Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face.
- Ability to produce high‑level architecture documents, cost/effectiveness estimates, and polished proposal content.
- Strong storytelling, presentation, and negotiation skills with senior technical and business leaders.
- Understanding of data governance, security, and ethical AI practices.
- Team‑player mindset capable of working across diverse business and political environments.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (advanced degrees preferred).
- Relevant cloud certifications (e.g., GCP Professional Data Engineer, Azure AI Engineer, AWS Certified Machine Learning).
- Valid driver’s license and passport for international travel.