What are the responsibilities and job description for the Grok AI Architect position at Prohires?
Grok AI Architect
NYC, NY (Hybrid)
We are seeking a highly skilled Grok Architect with strong experience in the banking and financial services domain. The ideal candidate will be responsible for designing, implementing, and optimizing advanced AI/ML-driven architectures (including Grok or similar conversational AI platforms) to support banking operations, customer engagement, and data-driven decision-making.
Key Responsibilities
Design and architect Grok-based AI solutions aligned with banking business requirements.
Lead end-to-end implementation of conversational AI, NLP, and LLM-based systems within banking applications.
Collaborate with business stakeholders to understand requirements across retail banking, corporate banking, payments, and capital markets.
Develop scalable and secure architectures adhering to banking compliance and regulatory standards (e.g., PCI-DSS, GDPR, SOC2).
Integrate AI/ML models with existing core banking systems, APIs, and enterprise platforms.
Provide technical leadership and mentorship to development teams.
Optimize system performance, reliability, and cost efficiency.
Ensure data security, privacy, and governance best practices are followed.
Stay updated with emerging trends in AI, Grok, LLMs, and fintech innovations.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8 years of experience in IT architecture or solution design.
Strong experience with AI/ML, NLP, LLMs, or conversational AI platforms (e.g., Grok, OpenAI, Azure AI, etc.).
Solid understanding of banking domain processes and systems.
Experience in cloud platforms (Azure, AWS, or Google Cloud Platform).
Knowledge of microservices architecture, APIs, and distributed systems.
Proficiency in programming languages such as Python, Java, or similar.
Familiarity with data engineering, big data technologies, and model deployment pipelines.
Strong understanding of security, compliance, and regulatory requirements in banking.
Preferred Qualifications
Experience working in BFSI (Banking, Financial Services, Insurance) sector.
Exposure to capital markets, risk management, or fraud detection systems.
Certifications in Cloud (Azure/AWS), AI/ML, or Architecture frameworks.
Experience with DevOps, MLOps, and CI/CD pipelines.
Key Competencies