AI Architect

Programmers.io; Dallas (TX); Vor Ort; USD 150.000 - 170.000; Vollzeit

Zusammenfassung

Programmers.ai is seeking an experienced AI Architect to lead technical pre-sales, design scalable AI solutions, and consult with clients. You will partner with Sales, Engineering, and client stakeholders to translate business challenges into practical AI prototypes and proposals.

The role requires deep Generative AI knowledge, experience with RAG and AI agent architectures, and the ability to communicate complex concepts to executives while shaping winning proposals and ROI-focused outcomes.

Qualifikationen

• Proven experience in technical pre-sales and solution architecture.
• Strong client engagement and presentation skills.
• Hands-on experience with effort estimation and proposal development.

Aufgaben

• Lead technical discovery sessions with prospects and Sales.
• Design AI solutions, PoC scope, architecture, timelines, and requirements.
• Estimate project effort, delivery costs, resource needs, and timelines.
• Develop technical solution proposals and client presentations.
• Lead AI Discovery and Roadmap engagements with clients.
• Present AI solutions to executives and business leaders.
• Establish credibility and differentiate capabilities from competitors.
• Share solution patterns and accelerators with Engineering Leads.
• Evaluate emerging AI tech and recommend fit based on business needs.

Kenntnisse

Technical Pre-Sales

Consulting

Client-facing

Generative AI

AI Architect

LLM Evaluation

RAG

AWS Bedrock

AI Deployment

Cost Estimation

Tools

Cursor

Jobbeschreibung

Company: Programmers.ai (Direct Hire for Our Own Organization)

Salary: $150,000 – $170,000 Annually + Benefits

About the Role

Programmers.ai is seeking an experienced AI Architect to drive AI solutioning, technical pre-sales, and client consulting engagements. This role will serve as the technical face of our AI practice, working closely with Sales, Engineering, and client stakeholders to identify AI opportunities and translate business challenges into practical, scalable, and commercially viable AI solutions.

The ideal candidate will bring a strong combination of AI architecture expertise, technical consulting, pre-sales experience, and client-facing communication skills. You will play a key role in shaping AI opportunities, leading discovery sessions, defining solution architectures, estimating project costs, and supporting the development of winning proposals.

Key Responsibilities

• Partner with the Sales team to identify and qualify AI opportunities, lead technical discovery sessions, and develop solution approaches.
• Design AI solutions and define Proof of Concept (PoC) scope, architecture, timelines, and technical requirements.
• Estimate AI project effort, delivery costs, resource requirements, and implementation timelines.
• Develop technical solution proposals and contribute AI-related content to client presentations and business proposals.
• Lead AI Discovery and Roadmap engagements, helping clients identify use cases, evaluate opportunities, and establish AI adoption strategies.
• Present AI solutions confidently to executive stakeholders, technical leaders, and business decision-makers.
• Establish technical credibility with clients and differentiate Programmers.ai's AI capabilities from competitors.
• Collaborate with Engineering Leads to share solution patterns, best practices, reusable frameworks, and AI accelerators.
• Evaluate emerging AI technologies and recommend solutions based on business requirements, scalability, security, performance, and cost.

Required Qualifications & Technical Expertise

1. Technical Pre-Sales & Consulting

• Proven experience in technical pre-sales, solution architecture, technology consulting, or client-facing solution engineering.
• Strong client engagement and presentation skills, with the ability to lead technical discussions and stakeholder meetings.
• Hands-on experience with effort estimation, solution design, proposal development, and technical discovery.

2. Generative AI & Agentic AI

• Strong understanding of Generative AI architecture and implementation.
• Practical knowledge of:
• Retrieval-Augmented Generation (RAG)
• AI Agents and Agentic AI architectures
• Fine-tuning and model optimization
• Large Language Model (LLM) selection and evaluation
• Ability to evaluate different AI models and recommend appropriate solutions based on business requirements.

Experience with one or more of the following:

• AWS Bedrock
• Experience designing end-to-end AI solutions, including system integration, security, scalability, and performance.
• Ability to assess AI implementation costs, latency requirements, infrastructure needs, and PoC feasibility.
• Understanding of enterprise AI architecture and deployment considerations.

5. AI-Assisted Development Tools

Hands-on experience with one or more of the following:

• Cursor

Ideal Candidate Profile

We are looking for someone who can confidently lead conversations with clients, understand their business challenges, and translate AI capabilities into measurable business value.

The ideal candidate should be technically credible, commercially aware, and comfortable working across Sales, Engineering, and executive stakeholders.

The ability to explain complex AI concepts in simple business terms, without overpromising or creating unrealistic expectations, is essential.