AI Architect

We are seeking an AI Architect to embed with our largest, most complex enterprise clients and lead the deployment of cutting-edge Salesforce Agentforce solutions. This high-impact role combines deep hands-on AI systems engineering, enterprise platform architecture, and high-visibility client leadership.
You will bridge the gap between business strategy and autonomous AI execution. You will "command the room" with C-suite stakeholders, dive deep into code and data pipelines, and build scalable, production-grade Agentforce architectures that deliver immediate, measurable business transformation.
Role Responsibilities:
Field Engineering & Autonomous AI Execution
Embed directly with client engineering and business leadership to rapidly prototype, architect, and deploy custom Agentforce autonomous agents, topics, actions, and guardrails.
Design and implement complex agent workflows utilizing Einstein 1 Platform, Data Cloud, and custom API actions (Apex, Flow, MuleSoft, and external REST endpoints).
Establish robust evaluation, testing, and observability frameworks (evals) to monitor agent accuracy, hallucination rates, latency, and business performance in production.
Unblock critical deployment bottlenecks in real-time, functioning as the high-velocity engineering engine on $2M+ strategic engagements.
Enterprise Architecture & Data Strategy
Own the end-to-end technical architecture for multi-cloud, AI-driven implementations, ensuring enterprise-grade scalability, security, context grounding, and compliance.
Architect real-time data pipelines using Salesforce Data 360 to power Agentforce context engines, unifying disparate data lakes (Snowflake, Databricks, BigQuery) with CRM data.
Produce clear architectural artifacts, including system sequence diagrams, agent action flows, data schemas, and security/governance frameworks.
Evaluate emerging AI/LLM models, prompt engineering patterns, and Agentforce features to build reusable assets, agent templates, and internal accelerators.
Strategic Client Leadership & Practice Growth
Serve as a trusted technical advisor to C-suite, VP, and Enterprise Architecture stakeholders, framing complex AI paradigms into clear business outcomes.
Lead high-stakes discovery sessions, live agent demonstrations, and architectural design reviews.
Partner with Delivery Leadership and Account Executives to scope, estimate, and technically validate high-value Agentforce proposals.
Share field-tested insights and deployment patterns with internal teams to help mature our Agentforce Center of Excellence.
Experience/Skills Required:
Production AI & Salesforce Experience: 6+ years of solution architecture experience on the Salesforce platform, with explicit, hands-on experience building and deploying Salesforce Agentforce, Einstein Copilot, or advanced Data Cloud implementations.
Forward Deployed / Consulting Agility: 5+ years in client-facing technical consulting or FDE roles, with a proven track record of shipping production code and systems under tight timelines on $2M+ accounts.
Hands-on Development Skills: Strong proficiency in Apex, Flow, LWC, REST/SOAP APIs, and modern programmatic integration patterns required to trigger agent actions across external stacks.
Data & Grounding Architectures: Deep understanding of Data Cloud, zero-copy architecture, vector databases, RAG (Retrieval-Augmented Generation), and enterprise data ingestion strategies.
AI Safety & Governance: Demonstrated experience implementing agent guardrails, prompt defense, audit logging, and enterprise compliance frameworks.
Executive Communication: Exceptional ability to simplify complex generative AI concepts, LLM mechanics, and agentic workflows for executive audiences.
Work Authorization & Travel: Full-time permanent US work authorization. Willing and able to travel 50%+ to client sites as required for high-velocity field engagements.
Education: Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
Preferred Certifications:
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 Architecture & Cloud: AWS Certified Solutions Architect (Professional), Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or TOGAF.
Why Coastal, and what we offer:
Flexible working hours with an emphasis on a life-work balance (in that order!)
Remote friendly; plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA & Lexington, KY
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.

Work arrangement
Yes