# Anagh Technologies Inc — Sr. Technical Manager for AI/ML

- Generated: 2026-08-25 10:58:30 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4456594504/
- Posted: 4 hours ago at capture time
- Applicants: Be among the first 25 applicants
- Work model/location: United States; exact remote/hybrid designation not disclosed
- Employment type: Contract
- Compensation: Not disclosed; Manager title does not qualify under Keith's undisclosed-compensation exception
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 73%

## Direct-match strengths

AI enablement, people leadership, full-stack Python, APIs, RAG, agents, vector databases, Kubernetes, DevOps, governance, regulated enterprises, and executive communication are strong.

## Hard or material gaps

Hard compensation and work-model gates: no pay is disclosed for a Manager title, and remote or Massachusetts eligibility is not established. The role also requires hands-on Azure and GCP experience plus Copilot Studio/Power Automate breadth that Keith's sources do not support.

## Weighted evidence map

1. AI engineering team leadership — 3/3: Direct teams up to 25.
2. Python, APIs, RAG, agents, and vector databases — 3/3: Direct hands-on evidence.
3. DevOps, CI/CD, Kubernetes, and governance — 3/3: Direct supported evidence.
4. Regulated-enterprise delivery — 3/3: Direct financial-services/privacy work.
5. Azure and GCP hands-on depth — 1/3: Vertex AI appears in source skills; Azure is unsupported.
6. Microsoft low-code stack — 0/3: Copilot Studio and Power Automate are unsupported.
7. Compensation and eligible work model — 0/3: Both are unverified and compensation fails the Manager gate.

## Keyword diagnostic

No resume generated. AWS, AI engineering, governance, and team leadership are direct; Azure/GCP and Microsoft low-code requirements are unsupported.

## Full normalized job description

Position Summary
We are seeking a highly experienced
Senior Technology Manager
to lead the Finance
Technology AI Enablement engineering team, responsible for architecting and building
best-in-class AI solutions while enabling business and IT partners in their AI adoption
journey. In this role, you will provide strategic direction to the engineering team, champion
engineering best practices, and drive the end-to-end delivery and enablement of AI
solutions across the enterprise.
The Finance Technology AI Enablement team helps the business strategize, evaluate,
define, and prioritize complex enterprise initiatives — designing and building them into AIenabled, transformative solutions. This role requires building strong relationships with
business stakeholders and domain-specific IT application development teams, working
collaboratively to advance AI-driven transformation and deliver measurable results. You
will oversee and execute multiple concurrent AI initiatives, delivering value across various
business domains in a fast-paced, dynamic environment.
Key Responsibilities
• Lead, mentor, and grow a high-performing engineering team focused on AI/ML and
GenAI solution delivery.
• Set strategic technical direction for the AI Enablement team, advocating for
engineering best practices, scalable architecture, and responsible AI development.
• Partner with business leaders and domain-specific IT teams to translate business
requirements into actionable technical roadmaps and solutions.
• Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation
through production deployment and adoption.
• Drive the design and development of AI/ML and GenAI solutions.
• Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio,
Power Automate) and Claude Skills alongside traditional full-stack development to
accelerate solution delivery.
• Establish and enforce DevOps, CI/CD, and data governance practices to ensure
reliable, secure, and compliant delivery.
• Operate within a regulated enterprise environment, ensuring solutions align with
formal architecture, security, privacy, audit, and enterprise governance standards.
• Act as a trusted advisor to business and IT partners on AI adoption strategy, use
case evaluation, and solutioning.
• Build and maintain strong cross-functional relationships, fostering collaboration
between engineering, business, and governance stakeholders.
• Report on program progress, risks, and value delivered to senior leadership.
Required Qualifications
• 8+ years of people management experience, including building, leading, and
developing high-performing engineering teams.
• 5+ years of hands-on software development experience in cloud and distributed
environments using modern technology stacks.
• Demonstrated experience building AI/ML solutions, including exposure to
GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows and
orchestration.
• Proficiency in Python and full-stack development, including designing and building
APIs.
• Hands-on experience with cloud platforms (Azure, GCP) and container
orchestration using Kubernetes.
• Experience working with vector databases in support of AI/ML and GenAI solutions.
• Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure
OpenAI, AWS Bedrock).
• Strong proficiency in SQL, data analytics, and automation.
• Proven experience with DevOps practices and CI/CD pipelines.
• Excellent communication and interpersonal skills, with a demonstrated ability to
engage effectively with business leaders and translate business requirements into
actionable technical plans.
• Experience operating within a regulated enterprise environment, including
familiarity with formal architecture, security, privacy, audit, and governance
processes.
• Strong strategic thinking and program management skills, with the ability to manage
multiple concurrent initiatives in a fast-paced environment.
Preferred Qualifications
• Experience within Finance or a similar regulated financial services function.
• Prior experience establishing or scaling an AI Enablement, AI Center of Excellence,
or similar function.
• Experience with agentic AI frameworks and orchestration tools.
• Experience building and scaling low-code/no-code AI solutions (Copilot Studio
agents, Power Automate flows, Claude Skills) as an enablement pattern for
business and IT partners.
• Experience designing or implementing semantic context layer using vector database
and/or knowledge graph architectures to support GenAI and RAG solutions.
• Familiarity with enterprise AI and Data governance, and responsible AI frameworks.
• Experience presenting to and influencing executive-level stakeholders.
• Track record of driving organizational change and technology adoption at scale.
Education
Bachelor or higher degree in Computer Science, Information Technology, or a related field,
or equivalent practical experience.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- LinkedIn connection note: Not generated for a FAIL role.
- Google Drive used: No