AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
The AI Practitioner (Glean) is a hands-on, customer-facing role on the Enterprise Insights & GPT Platform team. You will design, build, and run production AI applications on Glean’s platform – custom agents, workflows, connectors, and integrations – that solve real business problems for AHEAD teams.
You own the full solution lifecycle: discovery, design, build, rollout, and ongoing optimization.
Core Responsibilities
- Build on Glean
o Design and ship low-code/no-code Glean agents and multi-step workflows for real “jobs to be done.”
o Use Glean Agent Builder, actions, MCP tools, and adjacent automation (e.g., n8n, Power Automate, Zapier/Make).
- Integrate & Orchestrate
o Connect Glean to systems like Salesforce, ServiceNow, SharePoint/Teams, email, internal APIs.
o Implement custom services and integrations (REST APIs, webhooks) when low-code isn’t enough.
o Ensure solutions are secure, reliable, observable, and compliant in hybrid/SaaS environments.
- Act as a Forward-Deployed Engineer
o Embed with business teams, run discovery, and turn fuzzy asks into clear problem statements and MVPs.
o Manage executive and senior stakeholder engagement: expectations, demos, decisions, and adoption.
o Rapidly prototype, validate with real users, and harden MVPs into scalable, production solutions.
- Own LLM Quality, Telemetry & Cost
o Apply production LLM practices: prompt and agent design, guardrails, and evaluation.
o Instrument usage, reliability, and token/credit consumption at the agent and team level.
o Use data to improve quality and reduce unnecessary spend (context scoping, summarization, caching, model choice).
- Governance & Lifecycle
o Follow agreed governance and promotion standards (naming, ownership, documentation, risk).
o Manage solution lifecycle: intake → build → test → promote → iterate → retire as needed.
Required Experience & Skills
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data/Analytics, or equivalent experience.
- 5+ years in technical roles such as AI Practitioner, Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Automation Engineer or similar, with direct stakeholder engagement.
- Experience with AI/agent platforms (e.g., Glean, OpenAI-based copilots, custom agent frameworks)
- Production LLM experience, including prompt engineering, agent development, evaluation frameworks, and deployment at scale
- Experience with APIs, webhooks, and data integrations (e.g., working with REST APIs, JSON payloads, authentication, or integration patterns).
- Track Record of Shipping Production Software: A documented history of building and releasing software that is actually used by real customers, not just in testing.
- Familiarity with enterprise systems:
o Security frameworks (RBAC, least privilege, SSO/SAML/OAuth/OIDC, auditability).
o Common business stacks (e.g., Salesforce, M365, SharePoint, Slack/Teams, OneDrive, ServiceNow).
- Familiarity with MCP (Model Context Protocol), tool calling, and connecting agents to enterprise systems.
How You work
- Operate as a builder and advisor, not just an implementer.
- Comfortable being embedded with business teams while upholding platform and security standards.
- Communicate clearly with executives and non-technical stakeholders about trade-offs, risks, and impact.
- Move fast on prototypes, but know when to slow down for risk, security, or cost.
- Stay current on LLMs, Glean capabilities, and AI/low-code tools, and apply them pragmatically at AHEAD.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include:
Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
Paid time off and company holidays, along with additional leave benefits as per policy
Flexible work arrangements, supporting work-life balance
Learning and development opportunities to support continuous growth and upskilling
Employee wellness initiatives and programs focused on physical and mental well-being
Retirement and statutory benefits in line with India regulations
Inclusive and people-first culture, with a strong focus on collaboration and ownership
