Technical Practice Lead (AI Technologies)
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- Canada, United States
- Work type
- Remote
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Technical Practice Lead (AI Technologies):
We are looking for a Technical Practice Lead – AI Technologies to accelerate our growth and lead the delivery of next-generation, agentic AI solutions. The ideal candidate pairs executive-level presence with deep, hands-on technical mastery in generative AI and enterprise platform architecture.
In this highly visible role, you will lead complex, end-to-end AI implementations—from strategy, data ingestion, and context grounding to custom agent actions, guardrails, and production activation. You will act as the primary trusted advisor across pre-sales, architecture, and deployment, partnering directly with C-suite executives and delivery teams. You will remain a hands-on technical lead, tackling our most challenging AI engineering obstacles while driving our AI product strategy, business growth, and market point-of-view (POV).
Role Responsibilities:
Hands-On Technical Leadership & Field Engineering
We are looking for a Technical Practice Lead – AI Technologies to accelerate our growth and lead the delivery of next-generation, agentic AI solutions. The ideal candidate pairs executive-level presence with deep, hands-on technical mastery in generative AI and enterprise platform architecture.
In this highly visible role, you will lead complex, end-to-end AI implementations—from strategy, data ingestion, and context grounding to custom agent actions, guardrails, and production activation. You will act as the primary trusted advisor across pre-sales, architecture, and deployment, partnering directly with C-suite executives and delivery teams. You will remain a hands-on technical lead, tackling our most challenging AI engineering obstacles while driving our AI product strategy, business growth, and market point-of-view (POV).
Role Responsibilities:
Hands-On Technical Leadership & Field Engineering
- Architect & Deploy Agentic Solutions: Lead the design and implementation of production-grade autonomous agent solutions using Salesforce Agentforce, Einstein 1 Platform, Data Cloud, and custom API actions (Apex, Flow, MuleSoft, and REST endpoints).
- Grounding & Data Architecture: Architect end-to-end real-time data pipelines and zero-copy integrations connecting unified data lakes (Salesforce D360 (Data Cloud), Snowflake, Databricks, BigQuery) to CRM environments to power accurate AI context engines.
- Evaluation & AI Governance: Establish robust testing, evaluation (evals), and observability frameworks to monitor agent accuracy, hallucination rates, latency, prompt security, and business performance in production.
- Execution & Delivery: Direct internal and client-side technical teams during implementation; produce architectural artifacts including sequence diagrams, agent action flows, data schemas, and security/governance frameworks. Comfortable with array of development processes (waterfall, scrumfall, agile, kanban) and presenting to a wide range of audiences (from c-suite to developers.)
Pre-Sales & Business Development Support
- Technical Strategy & Scoping: Serve as the go-to technical expert for sales and account teams. Scope, estimate, and technically validate high-value AI solutions and $2M+ strategic engagements.
- Executive Demonstrations: Lead high-stakes discovery sessions and live agent demonstrations, articulating the business value of autonomous AI and generative capabilities to C-suite and Enterprise Architecture stakeholders.
- Asset & Accelerator Creation: Evaluate emerging LLMs, prompt engineering patterns, and agentic capabilities to build reusable templates, solution accelerators, and comprehensive technical documentation.
Marketplace Point-of-View (POV) & Thought Leadership
- Market Insights: Analyze trends in generative AI, agentic workflows, and competitive landscapes to inform our product roadmap and go-to-market (GTM) messaging.
- Practice Growth: Mature our AI Center of Excellence by defining best practices, deployment patterns, and repeatable frameworks.
- External Thought Leadership: Author white papers, technical blog posts, and research materials showcase our capabilities and establish our firm as an industry leader in enterprise AI transformation.
Experience/Skills Required:
- 5+ Years of Technical Consulting: Proven experience in solution architecture or technical consulting for cloud data platforms and multi-stream enterprise implementations.
- Production AI & Salesforce Experience: Deep, hands-on experience designing and deploying Salesforce Agentforce, Einstein Copilot, or advanced Data Cloud architectures.
- Hands-on Development Skills: Strong proficiency in Apex, Flow, LWC, REST/SOAP APIs, and integration patterns required to trigger agent actions across external technology stacks.
- Data & Grounding Architectures: Expertise in Data Cloud, zero-copy architecture, vector databases, Retrieval-Augmented Generation (RAG), and enterprise data warehousing platforms (Snowflake, Databricks).
- AI Safety & Governance: Demonstrated experience building agent guardrails, prompt defenses, audit logging, and compliance frameworks.
- Pre-Sales & Executive Communication: Exceptional ability to translate complex AI paradigms, LLM mechanics, and agentic workflows into clear business outcomes for C-level executives.
- Strategic Roadmap Leadership: Proven track record of shifting clients to optimal technical solutions, leading strategy workshops, and delivering digital roadmaps in complex environments.
- Work Authorization & Travel: Full-time permanent US work authorization with willingness to travel up to 50% for high-impact client engagements.
- Education: Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- Must have full-time permanent US work authorization
Additional Preferred Experience/Skills:
- Bachelor’s Degree preferred, or equivalent experience
- Anthropic: Claude Developer, Claude Architect - Foundations, or Claude Architect - Professional.
- Salesforce: Salesforce Certified AI Specialist, Salesforce Certified Data Cloud Consultant, Application Architect, or System Architect.
- Data Platforms: Snowflake Certified Core/Advanced, Databricks Certified Data Engineer, or MuleSoft Integration Architect.
- Enterprise Cloud & Architecture: AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or TOGAF.
- Open to travel
Why Coastal, and what we offer:
- Flexible working hours with an emphasis on a life-work balance (in that order!)
- Remote flexible work; plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA & Lexington, KY; travel as required to client locations
- Unlimited Paid Time Off (RTO), 401K with Company Match, and Medical, Vision, & Dental coverage
- Competitive quarterly bonus opportunities
- Continuing education and certification reimbursements, specifically within the Salesforce and Snowflake ecosystems; plus occasional in-house competitions with spot bonuses
- A flexible and fun team culture! We value transparency, support, flexibility, growth, teamwork, fun, and so much more
- Frequent team and culture activities, virtual & in-person, including Lunch and Learns, Happy Hours, team-building events
- Monthly All-Hands calls to bring the company together, and an open-door leadership policy with access to mentorship and guidance
- Opportunities for accelerated growth, networking, and career guidance and support
- Trust, transparency and respect across all levels of the company
Coastal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
