ai content strategist

Capgemini

<div>Our Client is one of the United States&rsquo; largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&amp;C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world
Team Function:
The Messaging and Knowledge Management Team manages both chat operations and enterprise knowledge systems, ensuring agents and customers receive timely, accurate support through AI-enhanced workflows. Daily functions include maintaining and optimizing the knowledge base, publishing updates via the WNS team, managing chat routing and escalation flows, overseeing content ingestion and chunking for GenAI, and coordinating change management for tools like Google Chat and Ask Service Ops. The team drives innovation by embedding Generative AI and Unified Search into agent and customer experiences&mdash;enabling conversational search, automated summarization, and predictive prompts that reduce contact volume, improve handle time, and enhance self-service capabilities
We are seeking a Content Strategist (AI-Optimized) with a strong foundation in user behavior analysis, AI/LLM capabilities, and intuitive search experience design. This role is pivotal in enhancing the effectiveness of AI-powered search tools by ensuring high-quality content, minimizing hallucinations, and improving user interaction through strategic prompt engineering and training.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Monitor AI search usage and performance metrics to identify patterns, gaps, and areas for improvement.</li>
<li>Analyze and troubleshoot poor AI outputs, including hallucinations, irrelevant results, or misinterpretations.</li>
<li>Design and maintain a &ldquo;Golden Set&rdquo; of benchmark data/questions for LLM testing and performance evaluation.</li>
<li>Collaborate with cross-functional teams to align content strategies with user needs and business goals.</li>
<li>Conduct user training sessions and create documentation to improve AI tool adoption and effective usage.</li>
<li>Leverage AI tools to streamline workflows, generate content, and analyze data for insights.</li>
<li>Maintain documentation and reporting using Microsoft Office and Google Workspace tools.</li>
</ul>
Requirements
Total Work Experience : 5 yrs to 9 yrs
English Proficiency : Intermediate
Required Branch(es) of study : Understands LLM/ Generative AI, Google, and Content Management
Skills Required
Content Management - Intermediate 
LLM, Generative AI, and Prompt Engineering - Must to have
Excel - Advanced (7+ Years) 
LLM - Intermediate (4-6 Years) 
Office Suite - Intermediate (4-6 Years) 
Google and Google Gemini - Intermediate (4-6 Years) - Must to have
Benefits
Competitive compensation and benefits package:<ul>
<li>Competitive salary and performance-based bonuses</li>
<li>Comprehensive benefits package</li>
<li>Career development and training opportunities</li>
<li>Flexible work arrangements (remote and/or office-based)</li>
<li>Dynamic and inclusive work culture within a globally renowned group</li>
<li>Private Health Insurance</li>
<li>Pension Plan</li>
<li>Paid Time Off</li>
<li>Training &amp; Development</li>
</ul>Note: Benefits differ based on employee level.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group &euro;22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/</div>

Content Strategist (AI-Optimized)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS is building an AI-first content platform that transforms how we create, govern, and deliver technical documentation at enterprise scale. The Technical Content Experience (TCX) team is seeking a Senior Content Strategist to architect the intelligent content systems, governance frameworks, and information architectures that will power this platform. 
 
In this role, you'll join a dynamic, customer-obsessed team designing the content layer that enables systems to generate accurate, brand-aligned technical content while maintaining the rigor and quality that AWS customers depend on. You'll create the governance frameworks that ensure technical content, including user guides, API references, and SDK guides, meet enterprise standards for accuracy, compliance, and usability. You'll work at the intersection of content strategy, AI systems, and developer experience, partnering with ML engineers, product teams, legal, security, and technical writers to solve complex challenges.
 
 
This is a greenfield opportunity to shape content governance and strategy for one of the world's largest technical documentation ecosystems as it enters the age of AI. If you think in systems, understand how developers actually use technical content, and are energized by building frameworks that scale, we want to hear from you. 
 
Key job responsibilities 
<ul><li>Architect content strategy solutions that enable systems to generate exceptional, brand-aligned technical content, including developing prompt engineering frameworks, structured content patterns, and quality assurance mechanisms</li><li>Create and maintain sophisticated content models, taxonomies, and metadata schemas that enable AI systems to understand technical concepts, product relationships, and user intent across the documentation ecosystem</li><li>Design content systems and information architectures that serve multiple audiences: human developers navigating complex APIs, AI systems generating code examples, and search algorithms surfacing relevant guidance</li></ul>
-Establish and enforce comprehensive content governance frameworks that define standards, processes, and accountability for both human- and AI-generated content, including policies for hallucination detection, bias mitigation, version control, and human-in-the-loop review processes 
<ul><li>Design and manage content lifecycle frameworks that govern how content is created, reviewed, published, maintained, updated, deprecated, and archived while ensuring compliance with legal, security, and regulatory requirements</li><li>Develop and maintain content design systems and governance documentation that enable consistent, high-quality content creation across human and AI authoring workflows</li><li>Lead cross-functional initiatives related to AI content systems, collaborating with legal, security, product, and engineering teams to define guardrails, and present strategies and progress to senior leadership with clear, customer-focused narratives</li></ul> 
A day in the life 
Your days are varied and strategic. You might start your morning analyzing how developers use API documentation, identifying patterns that inform your next iteration of content models or prompt frameworks. You'll collaborate with ML engineers to refine how our content platform understands technical concepts, then shift to working with legal and security teams to establish governance policies for a new content type launching next quarter. Afternoons might involve designing a metadata schema that enables better semantic search, facilitating a working session with product teams to map content lifecycle requirements, or presenting your governance framework to senior leadership. You'll balance systems-level thinking with hands-on problem-solving when you discover a gap in validation processes or spot an opportunity to improve content discoverability for developers. This role is about the systems and frameworks that keep content trustworthy, scalable, and customer-obsessed. 
 
About the team 
The TCX Content Strategy team ensures that every piece of AWS technical content delivers a predictable, high-quality experience that is aligned to customer needs and business outcomes. We achieve this through rapidly prototyping new content ideas, setting quality standards and processes to maintain consistency, designing consistent content patterns, and evolving our AWS technical content strategy based on data and customer feedback. Our strategies and platform are AI-first, and we proudly and unabashedly challenge ourselves to consider what is possible and achievable (even if it hasn&rsquo;t been done before).</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience working across teams and influencing teams that are not your own</li><li>5+ years of digital content management, communications, or content strategy experience</li></ul>
- Experience writing for developer and technical audiences - blog, product documentation, technical information 
<ul><li>Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization</li><li>Practical knowledge of AI content generation tools, prompt engineering techniques, and understanding of LLM capabilities and limitations in content creation</li><li>Proven experience establishing content governance frameworks, standards, or processes for complex content ecosystems</li><li>Strong systems thinking with ability to design scalable content architectures that serve both human and machine consumption</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience designing for accessibility and inclusivity</li><li>Experience working directly with engineering or ML teams in production environments, with familiarity using development tools (Git, IDEs, API testing tools)</li><li>Background designing content systems, including validation mechanisms, lifecycle management, or governance frameworks</li><li>Knowledge of semantic technologies, knowledge graphs, metadata standards (DITA, schema.org, OpenAPI), or structured authoring methodologies</li><li>Experience with content compliance, legal review processes, or regulatory requirements for technical documentation</li><li>Technical degree (Computer Science, Information Science, Technical Communication) or equivalent experience in technical domains</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $102,200/year in our lowest geographic market up to $178,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Content Strategist , Technical Content Experience

Biproc Infra Private ltd

<ul><li>Content Strategy for Generative AI</li><li>Develop and implement strategies to make content more discoverable and relevant to AI models.</li><li>Align content with AI prompt patterns and response behavior.</li><li>Structured Data &amp; Schema Markup</li><li>Use structured data (like Schema.org) to help AI engines interpret website content contextually.</li><li>Implement metadata to increase AI visibility and comprehension.</li><li>Knowledge Graph Optimization</li><li>Enhance brand or entity visibility in AI knowledge graphs.</li><li>Manage and optimize entity data across platforms (e.g., Wikidata, Google Knowledge Panel).</li><li>Conversational Query Optimization</li><li>Optimize for natural language and voice search.</li><li>Tailor content to align with how users phrase questions to AI systems.</li><li>Content Enrichment &amp; Clarity</li><li>Write and edit content to be clear, factual, and easy for AI models to summarize or quote.</li><li>Focus on authoritative tone, structured sections, and answer-focused formatting.</li><li>Prompt Engineering Support</li><li>Collaborate on prompt design for internal generative tools.</li><li>Analyze AI responses to fine-tune content triggers.</li><li>AI Performance Analytics</li><li>Monitor traffic and visibility from AI engines (via Bing Chat, Google SGE, etc.).</li><li>Use tools like Google Search Console, Bing Webmaster Tools, and AI-integrated analytics.</li><li>Cross-functional Collaboration</li><li>Work with content, SEO, product, and data teams.</li><li>Align AI optimization goals with broader marketing and technical strategies.</li></ul>Job Type: Full-timePay: &#8377;10,847.26 - &#8377;37,279.72 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Generative engine optimization /GEO/ SEO

ITP Media Group

1) Prompt Systems &amp; Libraries
<ul>
<li>Build and maintain prompt libraries (headline packs, SEO/meta, outlines, interview preps, listicles, explainers, social captions, scripts, show notes) per brand voice.</li>
<li>Create multi-step prompt chains for drafting refinement fact-check style pass; version prompts, run A/B tests, document what works.</li>
</ul>
2) Editorial Workflow Design
<ul>
<li>Map end-to-end editorial workflows and insert AI at the right steps (research assistance, angle generation, text polishing, packaging), always with human-in-the-loop sign-off.</li>
<li>Stand up repeatable automations (e.g., CMS draft package SEO social variants) using off-the-shelf tools (no-code/low-code) and enterprise LLMs.</li>
</ul>
3) Research, Verification &amp; Fact-Checking Aids
<ul>
<li>Design verify mode prompts that force sourcing, quote extraction, claim lists, and line-by-line evidence checks; require links and provenance for all assertions.</li>
<li>Create hallucination-reduction patterns (structured checklists, constrained schemas, refusal triggers).</li>
</ul>
4) SEO &amp; Audience Packaging
<ul>
<li>Build prompts for entity/keyword clustering, meta descriptions, URL slugs, image alt text, and headline/subhead variants tailored to each title.</li>
<li>Provide platform-native social packs (IG/TikTok/YouTube/Threads) with hooks, lengths, and CTAs matched to channel behaviours.</li>
</ul>
5) Multimedia Support (Post-friendly)
<ul>
<li>Prompt frameworks for video/podcast packaging: titles, descriptions, chapters, thumbnails copy, shownotes, and transcript clean-up.</li>
<li>Generate multi-ratio copy variants and localised (EN/AR) versions with style checks.</li>
</ul>
6) Training, Playbooks &amp; Change Management
<ul>
<li>Run editors rooms/office hours, lunch-and-learns, and build concise playbooks and style-infused system prompts per brand; track adoption and outcomes.</li>
<li>Coach teams on prompt hygiene, disclosure, and when not to use AI (sensitive topics, high-risk reporting).</li>
</ul>
7) Governance, Safety &amp; Rights
<ul>
<li>Embed newsroom AI principles: transparency, human oversight, labelling of AI-assisted outputs, and data/PII protection; align with AP/Reuters/BBC-style guidance.</li>
<li>Set guardrails for branded work (church &amp; state), copyright/citations, and content labelling for any automated assistance.</li>
</ul>
8) Evaluation &amp; Analytics
<ul>
<li>Define quality rubrics (accuracy, originality, tone, fairness) and productivity metrics (turnaround time, accepted-as-final rate, edits per draft).</li>
<li>Report lift in pageviews/engagement for AI-assisted packaging and measure subscriber/loyalty impact on premium brands.</li>
</ul>
9) Model &amp; Tool Selection
<ul>
<li>Compare models/tools (ChatGPT Enterprise, Claude, others) for task fit, safety and cost-performance; maintain a menu of approved use cases.</li>
<li>Pilot retrieval-augmented workflows using brand archives (licensed content, past issues) to keep outputs on-brand and verifiable (e.g., Ask FT -style constrained assistants).</li>
</ul>
10) External Signals &amp; Stakeholder Confidence
<ul>
<li>Monitor public trust signals around AI in news; propose disclosure language and FAQ for audiences and clients.</li>
<li>Liaise with legal/compliance on rights, data retention, and crawler policy posture.</li>
</ul>

Editorial Prompt Engineer, ITP Luxury Group

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Sr. Content Strategist , Technical Content Experience

Generative engine optimization /GEO/ SEO

Editorial Prompt Engineer, ITP Luxury Group