Solutions Architect

Role: Solution Architect (Artificial Intelligence)

Location: Bedminster, NJ

Job Type: Full Time

Mode of Work: Hybrid

About the Role

We are seeking a visionary and strategic Solution Architect to lead the design, development, and execution of our artificial intelligence (AI) innovation strategy. This role will be central to shaping the company’s long-term competitive advantage through AI adoption, embedding emerging technologies into products, services, and internal processes.

The Architect will not only drive the development of AI-powered solutions but also serve as a thought leader, change agent, and culture builder. By partnering with leadership, engineering, product, R&D, sales, marketing, and external stakeholders, this role ensures the organization remains at the forefront of AI-driven transformation while maintaining a strong commitment to ethics, governance, and measurable business outcomes.

Qualifications

Architect level experience in innovation, AI/ML strategy, or product development.

Proven track record of delivering AI solutions at scale, from ideation through deployment and commercialization.

Deep expertise in AI architectures (e.g., transformers, generative models), ML frameworks, and modern infrastructure for AI/ML workloads.

Demonstrated knowledge of responsible AI frameworks, model bias mitigation, and regulatory compliance.

Exceptional executive presence, communication, and stakeholder management skills, with the ability to influence technical and non-technical audiences.

Recognized as a thought leader through publications, patents, speaking engagements, or community leadership.

Entrepreneurial mindset with experience driving innovation in startups, scale-ups, or fast-evolving business environments.

Key Responsibilities

Strategic Leadership & Vision

Define, communicate, and execute a forward-looking AI innovation roadmap, aligned with company strategy and long-term growth objectives.

Prioritize high-impact AI opportunities across multiple domains, including product development, customer experience, and operational excellence.

Serve as a trusted advisor to the executive team on AI adoption, investment, and risk mitigation.

Technology Scouting & Innovation Pipeline

Continuously monitor global AI trends, platforms, and research breakthroughs to identify disruptive opportunities.

Lead the evaluation and piloting of new technologies, from generative AI and advanced analytics to automation and decision-support systems.

Build scalable frameworks for identifying, testing, and transitioning AI innovations from concept to market-ready solutions.

Execution & Program Leadership

Oversee end-to-end delivery of AI initiatives, including architecture, development, deployment, and performance measurement.

Establish best practices in MLOps, governance, and responsible AI use.

Ensure new solutions deliver measurable ROI and competitive differentiation.

Cross-Functional Collaboration

Collaborate with Sales to identify client-specific AI opportunities and co-create solutions that strengthen relationships and drive revenue.

Work with Marketing to amplify thought leadership through blogs, articles, speaking engagements, and multimedia content.

Culture & Change Management

Cultivate an AI-literate culture across the organization, offering workshops, training, and internal communications to increase adoption and reduce resistance.

Act as a “possibility catalyst,” helping teams understand and embrace how AI reshapes workflows, roles, and opportunities.

Encourage experimentation, calculated risk-taking, and innovation as core cultural values.

Governance, Ethics & Risk Management

Champion responsible AI practices, ensuring fairness, transparency, and compliance with regulatory and ethical standards.

Proactively identify and mitigate risks related to data privacy, security, and algorithmic bias.

Serve as the company’s voice on ethical AI in both internal policy and external engagements.

Impact Measurement & Accountability

Define success metrics and innovation KPIs that tie directly to business outcomes.

Track ROI across AI initiatives and communicate results to the executive team and key stakeholders.

Continuously refine strategies based on data, lessons learned, and evolving market conditions.